<?xml version="1.0" encoding="UTF-8"?>
<itemContainer xmlns="http://omeka.org/schemas/omeka-xml/v5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://omeka.org/schemas/omeka-xml/v5 http://omeka.org/schemas/omeka-xml/v5/omeka-xml-5-0.xsd" uri="https://omeka.ibu.edu.ba/items/browse?output=omeka-xml&amp;page=273&amp;sort_field=Dublin+Core%2CTitle" accessDate="2026-06-26T03:33:51+01:00">
  <miscellaneousContainer>
    <pagination>
      <pageNumber>273</pageNumber>
      <perPage>10</perPage>
      <totalResults>3494</totalResults>
    </pagination>
  </miscellaneousContainer>
  <item itemId="2591" public="1" featured="0">
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="20371">
                <text>828</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="20372">
                <text>The Development of Intercultural Communicative Competence through Community-Service Learning in the Hispanic Community</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="20373">
                <text>Salgado-Robles, Francisco </text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="20374">
                <text>This pilot study investigates the effects of community-service learning (CSL) in the development of the intercultural communicative competence (ICC) among intermediate level Spanish learners.    The ICC highlights the importance of appropriate and effective interaction in communicative contexts between non-native speakers (NNS) and native speakers (NS), which is relevant for the teaching-learning of foreign languages (Coperías Aguilar, 2007). For this communication event to occur, the incorporation of CSL into the foreign language curriculum makes it possible. As cited by Hale’s (1997), a volunteering service in the target language (TL) community “enable[s] students to learn from a different segment of society than that which he or she would normally interact with; [and] (...) teach students the meaning of service, patience, cross-cultural understanding, interdependence, humility, and simplicity” (Slimbach, 1995:10).    Using Fantini’s (2006) theoretical framework of ICC, this study uses a quantitative method to measure university-level, intermediate Spanish learners’ intercultural competence in the TL before and after experiencing their volunteering service. To that end, fifteen students who were registered in an undergraduate course on Service Learning in the Hispanic Community participated in this study. Throughout the semester they were required to volunteer total of 35-40 hours of community service outside of the classroom in several nonprofit organizations in Lexington (Kentucky, USA). The participants completed pre and post questionnaires which explored their intercultural competence in Spanish.     The ﬁndings of this study point to a need to encourage further civic engagement in an explicit manner throughout Spanish CSL courses and curricula (Bruno, 2003). By having the opportunity to be exposed to a continuous vernacular input in meaningful interactions (Kinginger y Blatter, 2008), the results show a clear-cut connection between the instruction methodology and the ICC development.    </text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="20375">
                <text>2012-05</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="20376">
                <text>Conference or Workshop Item
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="32">
        <name>P Philology. Linguistics</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="1977" public="1" featured="0">
    <fileContainer>
      <file fileId="2934">
        <src>https://omeka.ibu.edu.ba/files/original/a292374af125ba3f6e652a3f9540f334.docx</src>
        <authentication>26d0eb458f912873d0061a2ef3844cc4</authentication>
      </file>
      <file fileId="2935">
        <src>https://omeka.ibu.edu.ba/files/original/a308dd4885ba30fefda97cc72d08686f.pdf</src>
        <authentication>2b161ad25dc68277c09306b6551706a3</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="16220">
                    <text>The Development of Reading Awareness of Students: A Research on the Role of School
Libraries in Students Reading Skills and the Relationship of Students and Literature
Books
Isaak Papadopoulos &amp; Varvara Peiou
Ellinika Ekpaideftiria/ Greece
Key Words: Reading Awarness, Books, School Libraries, Survey, Influence
ABSTRACT
This paper is a comprehensive analysis of the current situation and the relationship of children with reading extracurricular books. It is true that younger students are not interested in reading at school and extracurricular books
while it is an undeniable fact that the school and society have a significant impact in this situation. This paper
continues with detailed proposals for both teachers and their views on the development of reading awareness of
students through creative and constructive activities for that reason. These are activities that can be implemented
booth by teachers and the parents of the students. In the search for the attitudes of then teachers towards books and
reading books from students survey questionnaire was carried out to teachers in three cities of greece and the results
are an important assistant and proof agent of the current relationship of students and books and these results are
described and analyzed. The last part of this paper underlines the importance of the activities that can help student
develop their reading language skill and the general linguistic skills either in the mother tongue or in the
second/foreign language. It is in the hands of the teachers to implement this useful guide and make their students
love the language learning process.

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="16213">
                <text>1797</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="16214">
                <text>The Development of Reading Awareness of Students: A Research on the Role of School Libraries in Students Reading Skills and the Relationship of Students and Literature Books</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="16215">
                <text>PAPADOPOULOS, Isaak  
PEIOU, Varvara </text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="16216">
                <text>Key Words: Reading Awarness, Books, School Libraries, Survey, Influence  ABSTRACT  This paper is a comprehensive analysis of the current situation and the relationship of children with reading extra-curricular books. It is true that younger students are not interested in reading at school and extracurricular books while it is an undeniable fact that the school and society have a significant impact in this situation. This paper continues with detailed proposals for both teachers and their views on the development of reading awareness of students through creative and constructive activities for that reason. These are activities that can be implemented booth by teachers and the parents of the students. In the search for the attitudes of then teachers towards books and reading books from students survey questionnaire was carried out to teachers in three cities of greece and the results are an important assistant and proof agent of the current relationship of students and books and these results are described and analyzed. The last part of this paper underlines the importance of the activities that can help student develop their reading language skill and the general linguistic skills either in the mother tongue or in the second/foreign language. It is in the hands of the teachers to implement this useful guide and make their students love the language learning process.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="16217">
                <text>IBU Publishing</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="16218">
                <text>2013-05-03</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="16219">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="2301" public="1" featured="0">
    <fileContainer>
      <file fileId="3355">
        <src>https://omeka.ibu.edu.ba/files/original/60c01fdf5bf1103960081b6b67084fc1.pdf</src>
        <authentication>da5f72a22b600d8854a74d46d01eb3c8</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="18551">
                    <text>[11] Mohammad Hossein Morowvat, Sara Rasoul-Amini, Younes Ghasemi. Chlamydomonas
as a ‗‗new‖ organism for biodiesel production. Bioresource Technology 101 (2010) 2059–
2062.

The Development of the Clean Technology Industry: A Conceptual Framework
Nir Kshetri
The University of North Carolina at Greensboro
Abstract
The evolutionofanindustrychanges the competitive climate faced by individual firms as well
as nations. Many analysts consider the clean technology (CT)industry as a game changer for
businesses‘ and nations‘ competitiveness in the 21st century.From a theoretical standpoint, the
CT industry contains many idiosyncraticfeatures, which affect the natures of entrepreneurial
opportunities and roles in this industry. The issues of the evolution of the clean technology
industry and nations‘ competitive advantages in this industry area critical but little-examined
problem in the social science research. We contributetofilling this research gap with an
analysis of the entrepreneurship in the global CT industry. Specifically, this paper proposes a
framework to examine the development of the CT industry and assesses some major
economies in terms of the major dimensions in the framework. We also present a case study
of entrepreneurship in the Chinese CT industry.
Keywords: Clean technology, disruptive innovations, solar cells, China, venture capital,
externality mechanisms
1. INTRODUCTION
The evolutionofanindustrychanges the competitive climate faced by individual firms as well
as nations (Utterback 1996). The rapidly evolving clean technology(CT) industry is
toutedasapotential source to bring changes in businesses strategic orientation as well as
significant changesintheglobaleconomic and political power structures. Despite their current
small size, some CT sectors such as solar and wind energy are the fastest growing forms of
electric power (Kennard 2008).
Facing the trend toward CT, some companies have developed new competences and
capabilities that have the potential of being clean and sustainable. To take an example,
DuPont has shifted its portfolio away from its traditional core competencies and is developing
new internal competences and capabilities compatible with therecent global
greenmovement(Hart 2005).
217

�One can present convincingargumentsto show that the current universal drive toward CT1 is
likely to be a long-term trendratherthan a fad or hype2. Reflective pieces from the popular
press as well as academic articles have illustrated influential arguments regarding the CT
industry‘s likely powerful impacts. Many observers in the U.S., for instance, think that despite
the Silicon Valley‘s leadership in technology, it is doubtful that it will be a CT leader
(Wadhwa 2010). Additionally, part of the fascinating character of CT is that compared to
other industries, innovation per se is likely to make a smaller, independent contributionto
success in this industry. For one thing, the CT industry inherently requires the whole new
systems instead of merely developing individual technologies (Johnson and Suskewicz 2009).
For instance, while Japan has been a global epicenter for the advanced CT innovations,
analysts have forcefully argued that the innovations alone may not be sufficient to develop the
CT industry (Dickie 2010).
The all-encompassingnature of the CT industry has created new opportunities as well as
threats for organizations in diverse industries and settings.Managersmaybenefit from ensuring
that they redefine their actionstobetter reflect the global trends towards the CT industry. Hart
(2005) argues that being more innovative in the long-term requires companies to develop
internal capabilities and resources to address the trend toward CT and eco-effectiveness.
There are several indications that policymakershavebeen persuaded by the economic,
environmental, and national security arguments. Governments worldwide are competing to
develop CT industries. French finance minister, Christine Lagarde noted: ―[CT] is a race and
whoever wins that race will dominate economic development. The emerging markets are
well-placed‖ (Bennhold 2010). In April 2009, U.S. President Obama warned: ―The nation that
leads the world in 21st-century clean energy will be the nation that leads in the 21st-century
global economy‖. In February 2010, he further noted: "Countries like China are moving even
faster. . . . I'm not going to settle for a situation where the United States comes in second place
or third place or fourth place in what will be the most important economic engine in the
future" (cf. Mufson and Pomfret 2010).
From a theoretical standpoint, the CT industry contains many unusual and
idiosyncraticfeatures.The issues of the evolution of entrepreneurship in the CT industry and
nations‘ competitive advantages in this industry are a critical but little-examined problem in
the social science research. Gibbs (2009) notes: ―…the concept of a sustainable entrepreneur
may remain as much of a ‗black box‘ as sustainable development itself‖ (p. 65). We
contributetofilling this research gap with an analysis of the global CT industry. Specifically,
this paper proposes a framework to examine the development of the CT industryandassesses
the world‘s major economies in terms of the important elements in the framework. We also
present a case study of the Chinese CT industry.
In the remainder of the paper, we first provide a review of the CT industry. Then, we discuss
our proposed model to examine the development of the CT industry. Next, we classify major
economies in the world in terms of the framework. The final section provides discussion and
implications.

1In the U.S., CT was the only sector that received more VC in 2009 compared to 2008, which
experienced a 52% increase to $2.7 billion (Zaborowski2009).
2 While the CT market has been growing since the 1970s (solar panels and wind energy have had a
small but loyal consumer), investment in this sector is taking off in recent years (Gangemi2007).
218

�2. A note on the CT industry
One of the most striking features of the CT industry is its all-encompassingnature, which
touches diverse industries and settings. CT requires re-engineering an economy that has run
on fossil fuels since the Industrial Age. The transportation infrastructure, for example,
encompasses comprehensive network of energy production and distribution that have been
shaped by a century of investment and innovation in oil drills, pipelines, tankers, refineries
and gas stations (Harris 2010; Johnson and Suskewicz 2009). Parker and Youngman (2009)
haverightly pointed out: ―[C]leantech is not a sector in the traditional sense (like IT or
biotech), more a theme‖.
Most innovations developed by biotechnology ventures are typically disruptive in nature
(ThomassinandCloutier 2001). Despite initial inferior performance, disruptive innovations
tend to be ―cheaper, simpler, smaller, and more convenient to use ―(Christensen, Raynor and
Anthony 2003). They either create new markets by targeting non-consumers or compete in the
low end of an established market.
While some innovations in the CT industry might have disruption potential (Parker and
Youngman 2009), they might not be so in the same way as in other industries. As noted
above, most disruptive innovations tend to be cheaper (Christensen, Raynor and Anthony
2003).To the contrary, while the costs of solar and wind energy have reduced significantly,
they remain more expensive than coal-generated electricity (Walet 2010). The CT industry is
thus unlikely to follow Moore's Law3 of cost-improvement curve (Karlgaard 2010).
Instead of focusing on a particular economic sector, CT entails the development,
manufacturing, deployment, and sustainment of technologies that help improve the economic
productivity and environmental performance of many sectors of the economy and improves
national security (Ernst &amp; Young2007; Parker and Youngman 2009). The development of the
CT industries depends upon reducing the costs of products based on existing technologies
instead of creating new low-cost products.
CT‘s development depends upon emotionalratherthan rational behaviors of consumers and
businesses. CT industry‘s success thus requires a fundamental shift in behaviors of consumers
and businesses. Likewise, companies‘ responses to the global trends toward CT are also
functions of factors such as contribution to international/ nationalsecurityandenvironmental
protection in addition toprofit maximization. Some CT leaders, for instance, are likely to be
consumer companies that are ―de-materializing‖ and are seeking to improve resource
efficiency (Parker and Youngman 2009).
Green capitalism is not likely to work in the same manner as in traditional industries. Wallis
(2010, p. 33) notes: ―At a conceptual level, it is clear that ―green capitalism‖ seeks to bind
together two antagonistic notions. To be green means to prioritize the health of the ecosphere,
with all that this entails in terms of curbing greenhouse gases and preserving biodiversity. To
promote capitalism, by contrast, is to foster growth and accumulation, treating both the
3 The well-known Moore's Law states that the number of transistors on a chip doubles every 18 to 24
months, driving exponential growth rate of computing power. Over the past 40 years, Moore's Law
has been found to be remarkably accurate. For instance, the number of transistors on a single chip
increased from 2,300 on the 4004 chip developed in 1971 to 42 million on the Pentium IV processor
developed in 2000 (Hamilton, 2001). Moore (2001) was confident that his law 'will be true for
another 20 years'. A corollary of Moore's Law is that the cost of computing declines by about 35%
every year (Palem 2001).
219

�workforce and the natural environment as mere inputs‖. Acorollaryoftheabove observation is
that the traditional venture capital (VC) model that worked for IT may not work for theCT
industry. A BusinessWeek article quotes a VC attorney, a CT specialist: " The scale and the
risks are much greater". For this reason, some advocates of CT industry maintain that the
government needs to act as a source of patient capital.
3. A proposed framework to examine the development of the CT industry
The development of the CT industry in an economy can be understood in terms of three main
building blocks (Figure 1)4. In this section, we briefly discuss the elements of the building
blocks.
Figure 1 about here
3.1.Impacts ofCT
Impacts ofCT reflect the national welfare created by the CT industry and are the ultimate
objectives that policy makers want toaccomplish (Ahmad and Hoffmann 2008). The reason
perhaps most often cited for policymakers‘ preference for CT development concerns the shift
towards a new form of ―capitalist development‖ that can address concerns related to negative
environmental impacts such as global warming and climate change (Gibbs 2009). In addition,
CT may also contribute to the economic and national security. In the U.S., for instance, in
addition to climate change related concerns, factors such as increasing oil prices, growth of
emerging markets and perceived national security implications of energy dependence on
foreign countries have been major drivers of the CT industry (Ernst &amp; Young2007).
3.2.Performance of the CT industry
Performance indicators are CT related actions that are instrumental in delivering the desired
impacts.Put differently, target indicators used in measuring CT performance tellthe progress
towards achieving the ultimate objectives. Various indicators related to the development of
the CT industrycan be used to measure the performance.Businesses‘ and consumers‘ CT
awareness, attitude and preferences are tightly linked to the CT industry‘s performance. It is
argued that companies in Japan have a ―non-political, long-term view‖ of energy (San Miguel
2010). In some countries, consumer perceptions are often the biggest roadblock for the
development of the CT industry. For instance, due to efficiency and cost-effectiveness of
conventional energy in the U.S., consumers have failed to see the benefits of CT (Johnson and
Suskewicz 2009; Wadhwa 2010).
Production of CT and CT adoption levels of businesses and consumers are also important
performance indicators. The width of CT adoption or the number of different uses of CT, and
the depth of CT adoption or the amount of usage of a particular CT can also be used to assess
a country‘s CT performance. Other indicators include entrepreneurship and emergence of
competitive local firms in the CT sector, export of CT related products and CT related
innovations.
3.3.Determinants of CT development

4 This framework draws upon Ahmad and Hoffmann (2008).
220

�Determinants of CT development arethe factors that affect CT performance. The left box in
Figure 1 presents interdependent and mutually reinforcing elements that determine the
development of the CT industry.
Government incentives, supports and strategic regulations that favor the local CT industry
As is the case of any industry, the development of the CT industry is a function of the level of
priority and focus of national industrial and technological policies on fostering and
strengthening the industry (National Academy of Science 1985). Trade policy and other
strategic regulations also affect the CT industry‘s growth (Tilton 1971). Strategicregulations
provide frameworks and processes required for CT related actions that may lead to the
planned and targeted results (Medley 1994).
Some argue that the market mechanisms do not work perfectly and are associated with
various imperfections and impurities. Prior research indicates that the government can take
various measures to overcome businesses‘ myopia, greed, and economic power (Hart 1998).
Governmentintervention isthus necessary to correct the failure of the market forces (Dahlman
1979). Indeed, some go even further to argue that governmentinterventionmay be desirable
(Hvistendahl 2009).
Different theoretical contributions and various empirical studies have led to the accepted view
that the government can attack barriers to the development of an industry such as those related
to skills, information, market and infrastructures by legal and non-legal influences. Scholars
examining the development of information and communications technology (ICT) industry
have identified these influences in the form of new laws, investment incentives, foreign
technology transfer, and other supply-push and demand-pull forces (King et al. 1994;
Montealegre 1999). For instance, Singapore has developed itself as an ICT hub of Asia by
providing attractive infrastructure, skilled workers and a stable labor environment which
attracted a large number of ICT firms to locate there (Kraemer et al. 1992; Wong 1998).
Similarly, strong university-industry linkages and a large pool of highly trained scientists and
engineers have driven the development of ICT industries in Israel (Porter and Stern 2001).
In most cases, CT products such as solar power tend to be more expensive than conventional
alternatives (Galbraith 2009). CT startups often need to make huge investments in R&amp;D and
wait for a long time to develop a business plan. Developing expensive production facilities
and scaling them up may prove to be a challenge of another magnitude (Wadhwa 2010). A
consultant noted that a CT company could take up to nine years to become profitable
(Gangemi2007).
Moreover, some CT sectors such as solar panel manufacturers are facing dropping profits.
During 2007-2009, the price of solar panels reduced by more than half (Asiamoney 2009).
The CTindustry thus facesnon-price barriers. One way to overcome such barriers would be to
increase public sector investments and provide substantial subsidies or other incentives, which
is likely to play a key role in stimulating entrepreneurship in such technologies. In sum,
government incentives are more important for CT industry compared to other industries.
3.4.R&amp;D and innovation profile
An observation is that deployment rather than scientific breakthroughs is critical in the
development of the CT industry (LaMonica 2010). However, there may be equally
compellingarguments regarding the importance of innovations in the CT industry. Innovation
undoubtedly contributes to national competitiveness in CT (NSF 2010). Innovation is
especially important in the high-endsegments of the CT industry. For instance, consider
221

�China‘s showcase of high-tech renewable energy in Ordos City, Inner Mongolia. Due to a
lack of local high quality photovoltaic installations manufacturers, China is importing
photovoltaic panels from U.S.-based First Solar for a 2,000-megawatt power plant in Ordos
(Mufson and Pomfret 2010).
3.5.Adverse environmental and health impacts of conventional energy sources
Relative advantage is perceived benefits of a technology over previous technologies and the
extent to which it is better than the idea it supersedes(Rogers 1962 1983 1995). In this regard,
adverse environmental and health impacts of conventional energy sources would lead to a
perception of higher relative advantage of CT and encourage its adoption.
3.6.Forward and backward linkages
Of special interest is the development of related and supporting industries (Porter 1990).
Efficient channels for forward and backward linkages, labor mobilityandstimulation of
knowledge and technology transfer affect the development of the CT industry (Markusen and
Venables 1999).
3.7.Market size and economies of scale
Market size and economies of scaleaffect an industry‘s growth (Tilton 1971). Economies of
scale are more important for the CT industry than most other industries.Some analysts argued
that even the world‘s biggest markets such as China and the U.S. lack the scale required to
succeed in the CT industries (Woetzel 2009).
3.8.Availability of CT related skills, and labor and natural resources
The diffusion of a technology is influenced by the nature of inputs (Linder 1961; Vernon
1966).
In
this
regard,
CTrelated
skills,
and
labor
and
natural
resourcesarecriticalingredientsforthe success of this industry.
4. Determinants and drivers of the CT industry: Assessing major global economies
For accelerating the growth of CT industry, Johnson and Suskewicz (2009) have proposed a
framework with four elements: (a) an enabling technology,(b) an innovative business model,
(c) a careful market-adoption strategy, and (d) a favorable government policy. A close reading
of the literature suggests that the development of enabling technologyand government policy
are probably the most important factors affecting entrepreneurial performance and national
competitiveness in the CT industry. The OECD/EUROSTAT framework for entrepreneurship
indicators, for instance,has six categories of determinants:Regulatory Framework (related to
(a)), Market Conditions, Access to Finance, R&amp;D and Technology (related to (d)),
Entrepreneurial Capabilities and Culture (Ahmad and Hoffmann 2008). Indeed, the
government‘s involvement is critical in discovering an appropriate business model and a
market-adoption strategy (b and c in Johnson and Suskewicz 2009).
We would thus argue that government policy and development of enabling
technologyinfluence international heterogeneity in entrepreneurial performance and national
competitiveness in the CT industry. Figure 2 provides a 2 x 2 matrix that classifies major
economies in the world on these two dimensions and illustrates how they are positioned to
benefit from the global trend towards CT.
Figure 2 about here
222

�Dimension 1: Government incentives, supports and strategic regulations that favor the local
CT industry
Solomon (2009) noted the emergence of two primary strategies in the CT arena: a top-down
approach, which involves the government imposing regulations that force companies to
embrace CT and a bottom-up approach in which CT entrepreneurs come up with solutions for
the marketplace (Solomon 2009). Because of the all-encompassing nature of CT and the
importance of the development of a whole system, the latter approach is less likely to be
effective in the CT industry.
As noted above, government incentives matterin stimulating entrepreneurship in the CT
industry (Hvistendahl 2009). In this regard, a 2009 study by Deutsche Bank (DB) ‗Global
Climate Change Policy Tracker: An Investor's Assessment‘, which ranked 109 countries,
Germany, China and Japan present the lowest risks for green investors and CT firms (PRLog
2009).In particular, there have been direct and targeted public investments in Asia's "clean
technology tigers"—China, Japan and South Korea. Substantial and well-targeted incentives
and greater public investments have attracted private capital flows in these. These three
countries are projected to invest a US$509 billion in CT during 2009-2013 compared to the
U.S. investment of US$172 billion (Issues in Science andTechnology 2010). Likewise,
German government policies have made the country a CT leader (Altman 2010).
The United Arab Emirates(UAE) is another high profile example of an economy which is
characterized by government incentives, supports and strategic regulations in the CT industry.
Masdar City set up the Abu Dhabi government will run entirely on CT(Johnson and
Suskewicz 2009). TheUS$22 billion zero-emission, zero-waste city was launched in 2006 and
is scheduled to be completed by 2016 (Singh 2010).
In this paper‘s context, strategicregulations are regulations that are developed and applied
strategically to provide a framework or process for actions that lead to planned CT results. It
is worth noting that the literature is often plagued with claims and counter claims regarding
the potential benefits to firms from environmental regulations. Porter and van der Linde
(1995) observed that environmental regulations foster innovations andthus benefit firms.
Palmer, Oates, and Portney ‗s (1995) models, on the other hand, demonstrated that regulations
impose costs on firms, and firms can offset only a portion of those costs through innovation.
Mohr and Saha (2008) provide various theoretical examples that are consistent with the Porter
and van der Linde‘s assertion. They consider various possiblescenarios associated
withenvironmental regulations and discuss some mechanisms by which firms may benefit
from environmental regulations. Specifically, they argue that under some conditions,
regulations impose costs that can be fully offset via induced innovation (Mohr and Saha
2008). In addition, Mohr and Saha (2008) also point out the possibility that a regulation itself
is beneficial even without innovation. Firms may get additional benefit from innovation. It is
quite possible that that the cost of regulation is passed along to the consumer in the form of a
higher price.
Dimension 2: Innovation and R&amp;D profile
As discussed earlier, innovation per se is likely to make a smaller contributionto success in
the CT industry (Johnson and Suskewicz 2009). Innovations, however, undoubtedly
contribute to national competitiveness in CT (NSF 2010). For instance, Masdar City is
planning to use 100% renewable energy and most of the innovations will be generated on-site
(Johnson and Suskewicz 2009). Ourseconddimension is thus the degree of innovations in the
industry. Table 1 presents some important indicators related R&amp;D and innovations profiles of
some major economies in the world.
223

�Table 1 about here
One way to understand inventive entrepreneurial activity around the world would be to look
at the distribution of patents awarded to inventors in the U.S. Traditionally inventors in the
U.S., the European Union (EU) and Japan produced most patents. According to the U.S.
National Science Foundation, Taiwan and South Korea have intensified patenting activities in
the U.S. in recent years. Chinese and Indian inventors‘ patenting activities, on the other hand,
remain modest (NSF 2010). According to The European Patent Office (EPO), the number of
CT patents increased significantly after the Kyoto Agreement. Germany, Japan, the UK, the
U.S., South Korea and France have been the countries with the most CT patenting activities
(cpaglobal.com 2009).
Classifying some major economies in terms of the two dimensions
We assess some of the major economies intermsof thetwodimensions discussed above.
Cell I: South Korea
In 2008, South Korean government set ―green growth‖ as the national vision. In 2009, it
announced that US$31 billion of its US$38 billion stimulus package would be spent in the CT
industry. The package was second only to China in terms of percentage of 2008 GDP (3.4 %)
and the world‘s largest as a percentage of the stimulus package (81 %) (Morrison and Yoshida
2009). The package covered various economic sectors and was expected to create about 1
million green jobs. In 2009, a five-year plan was also announced, which aims to spend 2 % of
its GDP in the development of environmentally friendly businesses and projects. In July 2009,
an additional US$85 billion stimulus was announced for CT industries, which is expected to
create about 1.81 million jobs in five years (Morrison and Yoshida 2009).
In January 2010, the president signed the Basic Act on Low Carbon Green Growth. The law
mandates the government to establish a national strategy for green growth and set national
and corporate targets for carbon emissions. The law also provides legal grounds for state
investment in CT (Jang-jin 2010). The country‘s presidential committee selected 10 green
technologies to promote as new growth engine businesses for 2010. By 2012, the country will
add 28,000 environment-friendly buses and provide incentives to reduce food waste by 20 %
(Jang-jin 2010). It has set an explicit goal of increasing South Korean companies' share of the
global CT export market by 8 % points (Atkinson 2010).
As noted above, South Korea has intensified patenting activities in the U.S. in recent years.
South Korea is also among the top 6 countries in the world for CT patenting activities
(cpaglobal.com 2009).
Cell I: Japan
The Japanese government announced in the early 2010 that it would provide US$33 billion
incentives for the CT industry. The targeted deployment would be in solar, hybrid-electric
vehicles, and energy-efficiency technologies. The government also announced plans to spend
an additional US$30 billion by 2015 on achieving price and performance improvements of the
CT industry (Atkinson 2010).
Japan‘s innovationprofile in CT is advanced. Japan leads the world in CT patents (Parker and
Youngman 2009). Between 2002 and 2006, Japan applied for 60,261 patents for
environmental technology compared to 25,047 applied by the U.S. (Fuller 2010). For cleancoal technology, the top six holders of patents are Japanese.
Cell II: The U.S. and the U.K.
224

�The U.S. and the U.K. historically were the most popular destinations for global private CT
investors (Atkinson, 2010). From 2000 to 2008, the U.K. and the U.S. attracted high levels of
green capital investment --$17 billion and $52.1 billion respectively (PR Log 2009). In
2008,however, China overtook the U.S. in CT related private investments. In 2009, China
gained in its global share of VC in CT, while North America lost its share. North America's
share of global CT VC funding declined from 72 % in 2008 to 62 % in 2009 (Red Herring
2010).
According to the Deutsche Bank mentioned earlier, the U.K. and U.S. have a high risk policy
and CT investment environment (PR Log 2009). According to the report,the U.S. primarily
relies on "volatile market incentive approach ".The recent trend of private investment reveals
adecliningconfidence in the U.S. CT industry.
Critics blame the U.S. for ―wavering policies, complex permitting, and a skittish financial
community‖ (LaMonica 2010). The American Clean Energy and Security Act was passed by
the U.S. House of Representatives in 2009. The Act arguably includes too few proactive
policy initiatives and allocates relatively little funding to support R&amp;D, commercialization
and production of clean-energy technologies (Atkinson, 2010). Current U.S. energy and
climate policies focus on stimulating domestic demand primarily through indirect demandside incentives and regulations.
Analysts argue that the proposed U.S. climate and energy legislation may not close the CT
investment gap. Some analysts argue that one of the biggest problems facing the U.S. CT
concerns a political system. Powerful interest groups and the society arguably have acted as
barriers to CT friendly policies (Parker and Youngman 2009). Wadhwa (2010) noted: ―The
Valley may develop some breakthrough technologies, but without government help these are
unlikely to translate into global leadership‖.
While the U.S. has a R&amp;D and innovation profile, the country overall lags behind Japan on
CT patents. However, U.S. firms lead in some clean tech sectors. For instance, U.S. firms
hold two-thirds of the patents on carbon-capture technology. While the U.S. runs a CT trade
deficit of over $6 billion (Gerwin 2010), some U.S. companies such as First Solar are
exporting high-end CT products.
Cell III: China
CT sectors that were prioritizedbythegovernment actions have experienced rapid growth
(Parker and Youngman 2009). David Sandalow, a U.S. assistant secretary of energy for policy
and international affairs—a CT expert recently put the issue this way: ―China‘s investment in
clean energy is extraordinary. Unless the U.S. makes investments, we are not competitive in
the CT sector in the years and decades to come‖ (Lean 2010).
China is behind the U.S. and other industrialized countries in terms of CT innovations.
According to Chatham House, no Chinese companies is among the top CT patent holders.
For instance, there is no Chinese company among the top 20 holders of patents for clean-coal
technology. Most Chinese players are concentrated in the low end of the CT industry. For
instance, while China has a large number of players in the solar devices sector, most focus on
low-tech rooftop water-heaters or cheap, low-efficiency photovoltaic panels (Mufson and
Pomfret 2010). Likewise, quality levels of China‘s wind-turbine manufacturers lag far behind
those of General Electric, Vestas and Siemens (Mufson and Pomfret 2010).
Cell IV: India
In June 2009, the Indian National Solar Mission announced that it had set a target to reach 20
GW installed solar capacity by 2020, which was more than the entire world‘s solar generation
225

�capacity for 2009. India, however, expects to pay for the US$20 billion plan primarily through
international financing (Peace 2009). As of July 2009, India‘s total fiscal stimulus was
US$6.5 billion (0.5 % of GDP) compared to China‘s US$586 billion (Fuller 2009).
According to Chatham House, no Indian company is among the top CT patent holders. In
general, India‘s innovation and R&amp;D profile has been low (Table 1).
5. Discussion and conclusion
This article disentangled the mechanisms behind the development of the CT
industry.Disruptive innovations are quite possible in the CT industry, especially when there is
a sizable segment of the population adopting this technology. As in other disruptive
innovations, the incumbents (e.g., the industrialized nations-based firms) may lack the ability
to play the new game in the field of CT (Christensen, Raynor and Anthony 2003). As noted
above, companies such as DuPont have entered into a completely new game of CT (Hart
2005). Chinese CT firms‘ internationalization activities may be the latest sign to suggest that
Chinese firms mayemergeaswinners in the global CT race.
The case study presented in this paper also suggested that the Chinese CT industry is more
sophisticated than first meets the eye. The government is playing an influential role to drive
the Chinese CT industry.The Chinese government is counting on the CT to enhance its image.
The Communist Party expects that a richer and greener economy might help increase respect
for it. There has already been some results. In recent years, air quality has improved in some
Chinese cities (Bureau of East Asian and Pacific Affairs 2007).
While the Chinese CT industry performs well in the government‘s incentives and support as
well as strategic regulation, its R&amp;D and innovation profile has been low. To achieve various
objectives related toeconomic, environmental and national security (impacts of CT), China
needs to slip into a higher gear. Lampton (2005) noted that ―China can be weak and strong
simultaneously‖. And so can its CT industry. China continues to gain strength in CT
industries. Government‘s measures are the key to China's success. Of particular interest are
the proposed regulatory measures, which are further likely to drive the growth of this
industry.
More than a decade ago, Koo (1998) noted that the ―progress in China has been scarcely
noted in the Western media and overshadowed by the focus on the human rights abuses as
perceived by the West‖. This observation remains generally true today as well. Several
analystshavewarnedthat Western managers may have underestimated the innovation taking
place in China (Rein 2010). The Western media have neglected to pay enough attention to
transformations undergoing the Chinese CTindustry. Brian Fan, senior director of research at
the Cleantech Group noted: "A lot of people underestimate how focused China is on
becoming a global leader in CT" (Mufson 2009).
Some analysts argue that neither China nor the U.S. has the scale required to succeed in the
CT industries (Woetzel 2009). The above discussion indicates that China can achieve better
economiesofscale and has various mechanisms to build it.However, China and the U.S. have
complementary characteristics. For instance, China‘s low cost advantage in the CT industry
can be combined with the strengths of the U.S. such as innovation and VC.
Our framework also allows us to examine international trade and factor mobility in the CT
industries. As noted above, Japan is ahead of the U.S. in CT innovations. The fact that China
has already overtaken the U.S. as Japan‘s biggest trading partner makes China-Japan
226

�collaboration in Green technology more likely than U.S.-Japan collaboration(economist.com
2010).
REFERENCES
Ahmad, N., and Hoffmann, A. N. (2008). A Framework for Addressing and Measuring
Entrepreneurship,
OECD
Statistics
Working
Paper,
January.http://www.olis.oecd.org/olis/2008doc.nsf/LinkTo/NT000009FA/$FILE/JT03239191
.PDF
Altman, P. 2010. Who Says U.S. Businesses are Pulling Back on a Climate Bill?. Natural
Resources
Defense
Council,
February
24,
2010.
http://switchboard.nrdc.org/blogs/paltman/who_says_us_businesses_are_pul.html.
Anderson, A.R. 1998. Cultivating the Garden of Eden: Environmental Entrepreneuring.
Journal of Organizational Change Management 11, no. 2: 135-44.
Ankori,
M.
2008.
Cleantech
connections,
22
September
http://www.globes.co.il/serveEN/globes/docView.asp?did=1000384413&amp;fid=1724.

08.

Asiamoney. 2009. Renewable Energy, China Supplement, 8.
Atkinson, R. 2010. America Risks Missing Out in CT: Asia's 'Clean-Tech Tigers' are outinvesting
the
U.S.
in
renewable
power
and
energy
efficiency.
http://www.businessweek.com/innovate/content/jan2010/id20100122_369263.htm February
3, 2010.
Bloomberg, M. R. 2008. A Race We Can All Win; The American system still has inherent
advantages, but we can't slow down. Newsweek 151, no. 1: 58.
Bureau of East Asian and Pacific Affairs. 2007. Background Notes on Countries of the
World: People's Republic of China, Background Note: China, Bureau of East Asian and
Pacific Affairs , the U.S. State Department, October, 2007, 1-23.
Business Week. 2007. Venture Capital's Clean Dreams for China, November 2, 2007.
http://www.businessweek.com/globalbiz/content/nov2007/gb2007112_376549.htm?chan=top
+news_top+news+index_global+business.
Christensen, C.M., M.E. Raynor, and S.D. Anthony. 2003. Six keys to building new markets
by
unleashing
disruptive
innovation.
http://hbswk.hbs.edu/item.jhtml?id=3374&amp;t=innovation&amp;noseek=one.
cpaglobal.com. 2009. EPO to preview clean-tech study at the Climate Change Conference in
Copenhagen.
http://www.cpaglobal.com/ip-reviewonline/4234/epo_preview_cleantech_study_cl.
Dahlman, C.J.1979. The Problem of Externality. Journal of Law and Economics 22: 141 162.
Demsetz, H. 1967. Toward a Theory of Property Rights. The American Economic Review 57,
no. 2: 347-359.
Dickie, M. 2010. Japan to focus on green technology, January
http://www.ft.com/cms/s/0/54773666-0e99-11df-bd79-00144feabdc0.html.

31

2010.

economist.com. 2010. Japan's love-bubbles for China: Hatoyama's advances to China raise
fundamental
questions
about
regional
security,
January
28,
2010.
http://www.economist.com/world/asia/displaystory.cfm?story_id=15393357.
227

�Energy Technology.
2009.
Breakthrough
Generation,
August
25,
2009.
http://breakthroughgen.org/2009/08/25/indian-prime-minister-says-india-must-invest-inclean-energy-technology.
environmentalleader.com. 2010. Clean Tech Investment Plummets 33% in 2009, January 7,
2010. http://www.environmentalleader.com/2010/01/07/clean-tech-investment-plummets-33in-2009/.
Ernst,
and
Young.2007.
Global
Venture
Capital
Insights
Report.
http://www.ey.com/Global/assets.nsf/International/SGM_Global_VC_Insights_2007/US$file/
Global_VC_Insight_Report_2007.pdf.
Ernst,
and
Young.
2008.
Global
IPO
trends
report
2008.
http://www.ey.com/GL/en/Services/Strategic-Growth-Markets/SGM_IPO_Trends_2008.
Fuller, B. 2009. All eyes on China.Engineering &amp; Technology 4, no. 13: 69-71.
Fuller, T. 2010. Global warming and green technology: Is China eating America's lunch?,
Environmental Policy Examiner, February 6. http://www.examiner.com/x-9111Environmental-Policy-Examiner~y2010m2d6-Global-warming-and-green-technology-IsChina-eating-Americas-lunch.
Galbraith, K. 2009. Companies Call Government Incentives the Key to Green, November 18,
2009.
http://www.nytimes.com/2009/11/19/business/energyenvironment/19CLEAN.html?pagewanted=1&amp;_r=1.
Gerwin, E.d. 2010. In it to Win it, February 24, 2010. http://www.huffingtonpost.com/edgerwin/in-it-to-win-it_b_475441.html.
Gibbs, D. 2009. Sustainability Entrepreneurs, Ecopreneurs and the Development of a
Sustainable Economy.Greener Management International, Winter, 55: 63-78.
Hamilton, J. 2001. No breaking Moore's law. TechTV News, 24 May.
http://www.techtv.com/news/computing/story/0,24195,3329182,00.html accessed 29 June
2001.
Hamilton, T. 2009. Venture capitalists make business case for going green. The Toronto Star,
December 29, B01.
Harris, S.D. 2010. Cleantech: Silicon Valley's next great wave of innovation, January 20,
2010. http://www.mercurynews.com/business/ci_14224228.
Hart, D.M. 1998. Forged consensus: Science, technology, and economic policy in the United
States. 1921-1953, Princeton, NJ: Princeton University Press.
Hart, S.L. 2005. Innovation, Creative Destruction and Sustainability. Research Technology
Management, Sep/Oct2005, 48, no. 5: 21-27.
Hvistendahl, M. 2009. Asia Rising: Countries Funnel Billions Into Universities, Chronicle of
Higher Education, 10/9/2009, 56(7), A1-A29.
Issues in Science andTechnology. 2010. Rising Tigers, Sleeping Giant, 26, no. 2: 81-84.
Jang-jin, H. 2010. Seoul to use taxes to fight climate change, February 6.
http://www.koreaherald.co.kr/NEWKHSITE/data/html_dir/2010/02/04/201002040043.asp.
Johnson, M.W., and J. Suskewicz. 2009. How to Jump-Start the Clean Tech Economy.
Harvard Business Review, Nov, 87, no. 11: 52-60.
Karlgaard, R. 2010. New Decade, Huge Questions. Forbes 185, no. 2: 17.
228

�Kennard, B. 2008. The Wrong Energy Agenda. BusinessWeek Online, September 2, 2008,
17.
King, J.L., V. Gurbaxani, K.L. Kraemer, F.W. McFarlan, K.S. Raman, and C.S. Yap. 1994.
Institutional factors in information technology innovation. Information System Research 5,
no. 2: 139-169.
Koo, G. 1998. The real China. Harvard International Review 20, no. 3: 68-71.
Kraemer, K. L., V. Gurbaxani, and J. King. 1992. Economic development, government
policy, and the diffusion of computing in Asia-Pacific countries. Public Administration
Review 52 (2): 146-56.
LaMonica, M. 2010. In clean energy, U.S. needs more steel in ground, February 6, 2010.
http://news.cnet.com/8301-11128_3-10447548-54.html.
Lampton, D.M. 2005. Paradigm Lost: The Demise of "Weak China". The National Interest,
no. 81: 73-80.
Lean, G. 2010. Did China block Copenhagen progress to pave way for its own dominance in
cleantech?, January 22, 2010. http://www.grist.org/article/2010-01-22-did-china-blockcopenhagen-to-pave-way-for-domiance-in-cleantech/.
Linder, S.B. 1961. An Essay on Trade and Transformation. Uppsala: Almqvist and Wiksells.
Markusen, J.R., and A.J. Venables. 1999. Foreign direct investment as a catalyst for industrial
development. European Economic Review 43, no. 2: 335-356.
Martin, C., and J. Efstathiou. 2010. China‘s Labor Edge Overpowers Obama‘s ‗Green‘ Jobs
Initiatives. http://www.businessweek.com/news/2010-02-04/china-s-labor-edge-overpowersobama-s-green-jobs-initiatives.html.
Medley, T.L. 1994. A regulatory perspective on harmonization of regulations and public
perception. In Biosafety for Sustainable Agriculture, Sharing Biotechnology Regulatory
Experiences of the Western Hemisphere, ed. A. Krattiger and F. Rosemarin. ISAAAInternational Service for the Acquisition of Agri-biotech Applications SEI-Stockholm
Environment
Institute.
http://www.isaaa.org/resources/publications/Downloads/Biosafety_bk.pdf#page=89.
Mohr, R.D., and S. Saha. 2008. Distribution of Environmental Costs and Benefits, Additional
Distortions, and the Porter Hypothesis. Land Economics, Nov, 84, no. 4: 689-700.
Montealegre, R. 1999. A temporal model of institutional intervention for information
technology adoption in less-developed countries. Journal of Management Information
Systems 16, no. 1: 207-232.
Moore, G.E. 2001. The continuing silicon technology evolution inside the PC platform.
http://developer.intel.com/update/archive/issue2/feature.htm.
Moresco, J. 2009. Record Year for Global Clean Tech VC. Red Herring, January 6, 2009, 4.
Morrison, G., and P. Yoshida. 2009. China, United States, Korea Take Lead In Clean Energy
and Low-Carbon Initiatives.Research Technology Management, Nov/Dec2009, 52, no. 6: 2-4.
Mufson, S. 2009. Asian Nations Could Outpace U.S. in Developing Clean Energy; American
Markets' Slump Feeds Worry. The Washington Post, July 16, 2009, Suburban Edition, A14.
Mufson, S., and J. Pomfret. 2010. There's a new Red Scare. But is China really so scary?,
February
28,
2010.
http://www.washingtonpost.com/wpdyn/content/article/2010/02/26/AR2010022602601.html.
229

�National Academy of Science. 1995. Allocating Federal Funds for Science and Technology.
Washington, D.C.: National Academy press.
NSF. 2010. National Science Board Releases Science and Engineering Indicators 2010.
January
15,
2010.
http://www.nsf.gov/news/news_summ.jsp?cntn_id=116238&amp;org=NSF&amp;from=news.
Palem,
K.
2001.
Designing
http://www.crest.gatech.edu/courses/dpce.pdf.

pervasive

computing

environment.

Palmer, K., W.E. Oates, and P.R. Portney. 1995. Tightening Environmental Standards: the
Benefit-Cost or the No-Cost Paradigm?. Journal of Economic Perspectives 9, no. 4: 119-32.
Peace, J. 2009. Indian Prime Minister Says India Must Invest in Clean Energy Technology.
Breakthrough Generation, August 25, 2009.
Porter, M. 1990. The Competitive Advantage of Nations. London: Macmillan.
Porter, M.C., and C. van der Linde. 1995. Toward a New Conception of EnvironmentCompetitiveness Relationship. Journal of Economic Perspectives 9, no. 4: 97-118.
Porter, M.E., and S. Stern. 2001. Innovation: Location matters. Sloan Management Review
42, no. 4: 28-36.
Potter, P.B. 2004. Legal reform in China: institutions, culture, and selective adaptation. Law
and Social Inquiry 29, no. 2: 465–95.
PR Log.2009. Germany And China Ranked Best Countries For Clean Tech Investors, October
30. http://www.prlog.org/10395026-germany-and-china-ranked-best-countries-for-clean-techinvestors.html.
Red Herring, 2010. Global Cleantech VC Down 33 Percent, 1/8/2010, p1-1
Rein, S. 2010. Chinese Companies Can't Build Brands? Think Again. BusinessWeek Online,
January 27, 2010, 18.
Rogers, E.M. 1962. Diffusion of Innovation, 1st edition. New York: Free Press.
Rogers, E.M. 1983. Diffusion of Innovation, 3rd edition. New York: Free Press.
Rogers, E.M. 1995. Diffusion of Innovation, 4th edition, New York: Free Press.
San Miguel, R. 2010. Tech Titans Lend Credibility to Bloom Box Hype. TechNewsWorld,
February 24, 2010. http://www.technewsworld.com/story/Tech-Titans-Lend-Credibility-toBloom-Box-Hype-69418.html.
Singh, M. 2010. Masdar for early completion of Masdar City
http://topnews.ae/content/21668-masdar-early-completion-masdar-city

03/01/2010,

Solomon, S.D. 2009. Clean Tech: Force It or Fund It?. Scientific American Earth 3.0 19, no.
1: 22-23.
Technology Review. 2009. Venture Capitalists Struggle with Renewables, 112, no. 5: 98.
Thomassin,P.J., and L.M.Cloutier. 2001. Informational requirements and the regulatory
process of agricultural biotechnology. Journal of Economic Issues 35, no. 2: 323–333.
Tilton, J.E. 1971. International Diffusion of Technology: The Case of Semiconductors.
Washington, DC: Brookings Institution.

230

�UNDP (2008). 2008. Human Development Report 2007/2008: Fighting climate change:
Human solidarity in a divided world, United Nations Development Programme (UNDP),
http://hdr.undp.org/en/media/HDR_20072008_EN_Complete.pdf.
Utterback, J.M. 1996. Mastering the Dynamics of Innovation. Cambridge, MA: Harvard
Business School Press.
Vernon, R. 1966. International investment and international trade in the product cycle.
Quarterly Journal of Economics 80: 190–207.
Wadhwa, V. 2010. Will China Eat America's Lunch in Cleantech?, January 30.
http://www.washingtonpost.com/wp-dyn/content/article/2010/01/30/AR2010013001016.html.
Walet, L. 2010. ANALYSIS - China's green tech revolution, January 29, 2010,
http://in.reuters.com/article/technologyNews/idINIndia-45812720100129.
Wallis, V. 2010. Beyond "Green Capitalism". Monthly Review: An Independent Socialist
Magazine, Feb, 61, no. 9: 32-48.
Woetzel, J. 2009. China and the US: The potential of a clean-tech partnership. McKinsey
Quarterly, 2009, no. 4: 88-92.
Wong, P.K. 1998. Leveraging the global information revolution for economic development:
Singapore's evolving information industry strategy. Information Systems Research 9 no. 4:
323-341.
Zaborowski, J. 2009. Opportunities in a recession.Economic Development Journal 8, no. 1:
42-48.
Table 1: R&amp;D and innovations profiles of some major economies in the world
Patents

Receipts

Research

Researchers

granted to

of royalties

and

in R&amp;D

residents

and license

development

(per million

(per million

fees

(R&amp;D)

people) 1900–05

People) 2000–05 (US$ per
person) 2005

Expenditures
2000–05

Japan

857

138.0

3.1

5,287

The U.K.

62

220.8

1.9

2,706

The U.S.

244

191.5

2.7

4,605

South Korea

1,113

38.2

2.6

3,187

China

16

0.1

1.4

708

India

1

0

0.8

119

Source: UNDP (2008)
231

�Figure 1: A framework for understanding CT related Indicators
Determinants and drivers of the CT industry

Government incentives, supports and strategic
regulations that favor the local CT industry
R&amp;D and innovation profile

CT related performances

Consumers’ CT awareness, attitude and
preferences
Production of CT and CT adoption levels of
businesses/consumers

Adverse environmental and health impacts of
conventional energy sources

Entrepreneurship and emergence of
competitive local firms in the CT sector

Forward and backward linkages
Market size and economies of scale

Export of CT related products

Availability of externality mechanisms

CT related innovations

Availability of CT related natural resources, skills and
labor resources

Figure 2: Assessing major world economies in terms of some determinants of CT
development

Degree of government incentives and support

Degree of R&amp;D and High
innovation

High

Low

[I]

[II]

Japan

The U.S.

South Korea

The U.K.

Germany
Low

[III]

[IV]
232

�China

India

The UAE

Notes:
In the U.S., CT was the only sector that received more VC in 2009 compared to 2008, which
experienced a 52% increase to $2.7 billion (Zaborowski2009).
5ii While the CT market has been growing since the 1970s (solar panels and wind energy
have had a small but loyal consumer), investment in this sector is taking off in recent years
(Gangemi2007).
iii The well-known Moore's Law states that the number of transistors on a chip doubles every
18 to 24 months, driving exponential growth rate of computing power. Over the past 40
years, Moore's Law has been found to be remarkably accurate. For instance, the number of
transistors on a single chip increased from 2,300 on the 4004 chip developed in 1971 to 42
million on the Pentium IV processor developed in 2000 (Hamilton, 2001). Moore (2001) was
confident that his law 'will be true for another 20 years'. A corollary of Moore's Law is that
the cost of computing declines by about 35% every year (Palem 2001).
iv This framework draws upon Ahmad and Hoffmann (2008).

Unit Root Properties Of Energy Consumption And Production In Turkey
Özgür Polata1,Enes E. Uslub2, Hüseyin Kalyoncuc3
1Department of Economics, Dicle University, Diyarbakır/Turkey.
2Turkstat Expert, Turkish Statistical Institute, Ankara, Turkey
Necatibey c. Yucetepe m. No:114 Ankara, Turkey
3 Department of International Trade, Meliksah University, Kayseri/Turkey
E-mails: opolat@dicle.edu.tr , enesuslu@tuik.gov.tr, hkalyoncu@meliksah.edu.tr
Abstract
In this study, unit root properties of total and sectorial energy production and consumption
series of Turkey are investigated. This study is the first to investigate unit root properties of
Turkish energy production. The unit root null hypothesis for energy variables are tested by
using unit root tests based on LM considering without structural break and with one and two
structural breaks. The results of the unit root test without structural break show that the unit
root hypothesis is rejected only for consumption of natural gas. The unit root hypothesis is
5 Süleyman Demirel University, Faculty of Economics and Administrative Sciences, Department of
Public Finance
233

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="18545">
                <text>1249</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="18546">
                <text>The Development of the Clean Technology Industry: A Conceptual Framework</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="18547">
                <text>Nir , Kshetri</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="18548">
                <text>The evolutionofanindustrychanges the competitive climate faced by individual firms as well  as nations. Many analysts consider the clean technology (CT)industry as a game changer for  businesses‘ and nations‘ competitiveness in the 21st century.From a theoretical standpoint, the  CT industry contains many idiosyncraticfeatures, which affect the natures of entrepreneurial  opportunities and roles in this industry. The issues of the evolution of the clean technology  industry and nations‘ competitive advantages in this industry area critical but little-examined  problem in the social science research. We contributetofilling this research gap with an  analysis of the entrepreneurship in the global CT industry. Specifically, this paper proposes a  framework to examine the development of the CT industry and assesses some major  economies in terms of the major dimensions in the framework. We also present a case study  of entrepreneurship in the Chinese CT industry.  Keywords: Clean technology, disruptive innovations, solar cells, China, venture capital,  externality mechanisms</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="18549">
                <text>2012-05-31</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="18550">
                <text>Conference or Workshop Item
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="86">
        <name>H Social Sciences (General),Q Science (General)</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="170" public="1" featured="0">
    <fileContainer>
      <file fileId="174">
        <src>https://omeka.ibu.edu.ba/files/original/862356dbf8e35b7a4b4a13366a2df05b.pdf</src>
        <authentication>d121768fa09991c981ed8d9a7e080be4</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="1298">
                    <text>Formatted: Line spacing: Multiple 1,15 li

The Development of the Professional Competencies of Teachers on the Basis of an
Innovative Approach
Sabithon Turgunov &amp; Muhayo Umaralieva
Uzbek Scientific-Research Institute of Pedagogical Sciences,
Uzbekistan
Abstract:
In the article the question of organization, management and improvement of the quality and
effectiveness of teaching processes in secondary institutions,revealed the role of the teacher
in coordinating students ' activities. The authors have proposed a number of
recommendations on the development of the professional competence of the teacher.

Formatted: Left: 2,54 cm, Right: 2,54 cm, Top: 2,54
cm, Bottom: 2,54 cm

Formatted: Left, Line spacing: Multiple 1,15 li
Formatted: Font: Not Bold, Italic

Formatted: Centered, Indent: First line: 0 cm, Line
spacing: Multiple 1,15 li
Formatted: Line spacing: Multiple 1,15 li
Formatted: Indent: First line: 0 cm, Line spacing:
Multiple 1,15 li

Keywords: Competence, a component of the pedagogical process, management, quality,
efficiency.
Formatted: Line spacing: Multiple 1,15 li

1. Introduction

Formatted: Indent: First line: 0 cm, Line spacing:
Multiple 1,15 li
Formatted: Line spacing: Multiple 1,15 li

One of the important stages of continuing education identified in the National
programme on personnel training, is training and coaching that, in turn, is directly connected
with reforming the system of retraining and advanced training of pedagogical staff and
providing the necessary conditions for the organization of this process at a high level.
Comprehensive development and modernization of the educational system has necessitated
the necessary skill set of today's teacher. This is high spirituality and pedagogical skills,
social activities, independent thinking and innovation, a sense of responsibility towards
society, government and family for the results of training and education.
2. Coordination of pedagogical processes and activities

Formatted: Indent: First line: 0 cm, Line spacing:
Multiple 1,15 li

Rapid changes and improvements occurring in the field of education and youth policy
of the state require teachers to quickly orientate themselves in their essence, to constantly
enhance professional knowledge, to master the skills of working in partnership with students
with regard to the principles of subjectivization and activity of students ' personality, to create
conditions to increase the motivation and organization of reflexive activity in the educational
process.
From this it follows that the main tasks of educational institutions for the organization
and management of pedagogical processes are: the organization and control of educational
process on a scientific basis, making available to students the necessary information related to
the assimilation of the program material, all-round personality development of students,
preparing them for life in modern society.
Organization of pedagogical processes and management is implemented in many areas.

Formatted: Line spacing: Multiple 1,15 li

�Denote primary:
– define instructional, educational and developmental goals based on the topics studied
in accordance with educational programmes;
planning students ' activities on implementation of the identified goals and objectives;
the use of educational technology;
– identification of potential students and projections of situations that allow you to
implement scheduled tasks, their distribution;
– determination of factors affecting the efficiency of the educational process; ensuring
an individual approach to students, the use of "active" technologies;
– selection and preparation of teaching tools used in the pedagogical process;
– ensuring succession and continuity of the pedagogical process;
– establishment of cooperation between schools, families, makhallas;
– the use of advanced pedagogical experience and modern information technologies in
the pedagogical process;
– implementation of STATE requirements and monitor compliance;
– collection and analysis of information about the learning process by conducting a
questionnaire survey among the students;
– correction and update tasks aimed at the development and improvement of the
activities of the students;
– organization self-study in accordance with the requirements of the STATE;
– organization of innovation activities, and contributing to the formation and
development of interest in self-learning activities;
– control and coordination of learning, of work and play activities of students.
Therefore, the functional duties of a teacher are extremely versatile: from the
organization and management of pedagogical process, and achieving the planned results to
the monitoring, analysis and assessment of the level of mastering of educational material,
implementation of the requirements of the STATE subject to the coordination of all activities
of subjects within the educational process.
Coordinating the activities of the subjects of the educational process involves not only
the cooperation of teachers and students directly in the process of cognitive activity( in class
or outside of it), but also the cooperation of the teaching staff and administration of
educational institutions in matters of management of the educational process.
Management activity, organized on the principles of cooperation and friendly relations,
is essential to determine the educational and developmental goals, the choice of direction of
their implementation, the rational allocation of tasks, coordination of activity of participants
of the educational process, improvement of pedagogical skills and professional experience of
the teaching staff.
In the educational process in the framework of cooperation defined by the equal status
of teachers and students, the status of subjects of this process, in which achievement of
results, is related to the level of professional competence of the teacher. According to many
experts, the educational process is carried out on subjective relations, greatly enriches the
experience of the teacher. The quality of the management depends on the effectiveness of

�pedagogical processes, sustainable competency development of teachers, improving their
expertise and skills. In turn, the teacher's personality largely determines the success of
students and ways of achieving it. The teacher in the pedagogical process serves as a
manager and as a member of the cognitive activity, and the role of the manager, and as a
member of the cognitive activity, and this status obliges them to possess professional training
and high moral qualities.
In our opinion, the quality of competence that should be possessed by the head of the
educational institution, is fully applicable also to ordinary teachers.
3.

Formatted: Indent: First line: 0 cm, Line spacing:
Multiple 1,15 li
Formatted: Line spacing: Multiple 1,15 li

The competence of the teacher consists of his spiritual worldview, psychological and
pedagogical, organizational and technological abilities, and all together creates a capacityfor
professionalism. This potential is manifested in the pedagogical process and affects its
efficiency.
The concept of the competence of the teacher in organizing and managing pedagogical
processes includes individual abilities and the professional level of teachers and their desire
for self-development and continuous updating of knowledge, and the desire to organize the
educational process according to modern requirements.
In the organization of the pedagogical process the teacher needs to rely on
atechnological systematic approach to management; to master the features and tools of
management; to know the content and significance of educational technology and to
implement them in practice; it is reasonable to use methods of leadership; to learn the basics
of management education, to innovate, to apply information technology and communication
tools; to organize the management of the educational process on a scientific basis; to
implement state educational standards, to accumulate and use necessary information, etc.
From the above it follows that the competence of teachers selects a number of areas and
components which play a role in the development of personal and human qualities of the
teacher, his professionalism and ability to work, communication and morale. i.e.
communication skills and moral character. So, a competent teacher: knows the necessary
skills for the effective organization of the educational process, knows the psychology of the
age, has a moral potential and high spirituality, has the ability to use modern technologies in
the educational process, has a rich professional experience. He owns the secrets of
professional skills, world and religious knowledge. This organizer and entrepreneur, a patriot
and internationalist, friendly and caring person, and most importantly – he is able to teach
another, to come to the rescue at the right moment. About say, "He's a master of his craft".
"Skills" (the Arabic word for "maarat" means art, skill, dexterity. Used expressions: the
great master, a craftsman, an artisan.
Hence the expression and even the term "professional skills" When people say that
about a teacher, we primarily mean the ability to organize and manage the pedagogical
process, to coordinate the activities of process participants, to enhance their activity.
In the current understanding of professional competence nested components such as the
organization of the educational process on a scientific basis, the research skills of the teacher,
the ability for management, leadership, propensity for self-development and self-education –

�in short, the ability to build the educational process in accordance with modern requirements.
4.
In conclusion it should be emphasized that the scientific organization of the educational
process contributes to its quality and effectiveness, enhancing the students’ objective analysis
and assessment from the teacher.
To realize its purpose in this process the teacher with the philosophical and spiritual
world view, psychological-pedagogical and organizational-technological potential,
possessing the technology of data collection, objective evaluation and information
processing, able to predict situations and factors that adversely affect the activity of the
pupils, and to identify ways of achieving the objectives. Such a teacher can be called a
teacher with a high degree of pedagogical competence.
References:
1.Моисеев А.М. Качество управления школой: каким оно должно быть.–Москва, 2001.
.Азизхўжаева Н.Н. Ўқитувчимутахассислигигатайёрлаштехнологияси. –Тошкент:
НизомийномлиТДПУ,2000.
3. Джураев Р.Х, ТурғуновС.Т. Таълиммуассасаларинибошқаришдаменежментнинг
асосий тушунчалари. – Тошкент: “Фан”,2006.

Formatted: Indent: First line: 0 cm, Line spacing:
Multiple 1,15 li
Formatted: Line spacing: Multiple 1,15 li

Formatted: Indent: First line: 0 cm, Line spacing:
Multiple 1,15 li

Formatted: Indent: First line: 0 cm, Line spacing:
Multiple 1,15 li

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="1291">
                <text>3281</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="1292">
                <text>The Development of the Professional Competencies of Teachers on the Basis of an Innovative Approach</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="1293">
                <text>Turgunov, Sabithon
Umaralieva, Muhayo</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="1294">
                <text>In the article the question of organization, management and improvement of the quality and effectiveness of teaching processes in secondary institutions,revealed the role of the teacher in coordinating students ' activities. The authors have proposed a number of recommendations on the development of the professional competence of the teacher.    Keywords: Competence, a component of the pedagogical process, management, quality, efficiency.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="1295">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="1296">
                <text>2016-05-21</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="1297">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="18">
        <name>PE English</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="2123" public="1" featured="0">
    <fileContainer>
      <file fileId="3177">
        <src>https://omeka.ibu.edu.ba/files/original/59c9823da975fb53ae11ae2cc8920a81.doc</src>
        <authentication>1c780fa7c52830efe1ce4ee465a92c08</authentication>
      </file>
      <file fileId="3178">
        <src>https://omeka.ibu.edu.ba/files/original/881476215f9fd7cc2c7552c43f0fff52.pdf</src>
        <authentication>116e8999353967964e4bb12a50305604</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="17311">
                    <text>1st International Annual Student Symposium

raising constructions of Bulgarian (2009). The aim is to test whether possessor
raising constructions exist in Bosnian and to show how the data from
Bulgarian can be applied to Bosnian, another Slavic language.
The paper first gives an outline of some preliminary facts about the syntax of
Bosnian nominal phrases (noun phrases – NPs or determiner phrases – DPs)
and its (possessive) clitics, which are well-known to occupy the second
position in the clause. The second part of the paper aims to present the nature
of possessor rising as it applies to Bosnian. Although English does not exhibit
instances of true possessor rising, there will be some, though limited,
comparisons between Bosnian and English in this respect. Parallels will also be
drawn between Bulgarian and Bosnian. The final section of the paper offers a
conclusion and a unified account of the phenomenon of possessor rising in
Bosnian. The analysis of possessor rising in Bosnian is done in the framework
of generative grammar.
The differences and similarities between English and German language at
the basic level of translation
Dina Sofović
International Burch University / Sarajevo, Bosnia and Herzegovina
Key words: differences and similarities, Indo-European language family, Loaned
words, linguistics
ABSTRACT
I have aimed to concentrate on the comparative analysis between English and
German language and to investigate the differences and similarities concerning
the major word formation processes in English and German at the basic level
in this paper. Similarity between the two languages stems from the fact that
much vocabulary has common roots, as they, English and German, belong to
28 |

�BOOK OF ABSTRACTS

the Germanic branch of the Indo-European language family. They are both
Germanic, even though each has borrowed many words from Latin, French
and Greek, that means that many common words are similar in both
languages, for example: house/Haus, man/Mann, here/Hier and good/gut, and
even some words are identical for example: Hand, Arm, Sand and Finger.
Modern English has evolved into one of the dominant world languages, and it
also had a growing influence on other languages. Loaned words cover different
fields such as popular culture, politics, business and the environment, because
of profound changes in the life and language, the influence of English
language worldwide and that many expressions from English appear as loan
words. According to Garrod and Sanford definition of a specific
communicative task such as a description or instruction, the information to be
expressed is not mapped directly from memory into linguistic form. Hence,
speakers generate a temporary conceptual structure which focuses on a specific
set of pragmatics, semantic, and syntactic options and sets guidelines for the
process of mapping information into linguistic form. Translation is often
thought to be primarily about words and their meanings, what the words in
the source text mean, and how words in the target language will convey
meaning. Recent linguistics research has not yet been able to come up with the
actual percentage of Anglicism in German language.
Loanword and its usage
Adela Hasanic
International Burch University / Sarajevo, Bosnia and Herzegovina
ABSTRACT
In this paper my aim is to explain the use of loanwords as well as their
prevalence in most languages. For foreign language learners understanding the
foreign or second language is much easier if it contains similarities with native
language.
| 29

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="17305">
                <text>1443</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="17306">
                <text>The differences and similarities between English and German language at the basic level of translation</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="17307">
                <text>SOFOVIC, Dina</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="17308">
                <text>I have aimed to concentrate on the comparative analysis between English and  German language and to investigate the differences and similarities concerning  the major word formation processes in English and German at the basic level  in this paper. Similarity between the two languages stems from the fact that  much vocabulary has common roots, as they, English and German, belong to the Germanic branch of the Indo-European language family. They are both  Germanic, even though each has borrowed many words from Latin, French  and Greek, that means that many common words are similar in both  languages, for example: house/Haus, man/Mann, here/Hier and good/gut, and  even some words are identical for example: Hand, Arm, Sand and Finger.  Modern English has evolved into one of the dominant world languages, and it  also had a growing influence on other languages. Loaned words cover different  fields such as popular culture, politics, business and the environment, because  of profound changes in the life and language, the influence of English  language worldwide and that many expressions from English appear as loan  words. According to Garrod and Sanford definition of a specific  communicative task such as a description or instruction, the information to be  expressed is not mapped directly from memory into linguistic form. Hence,  speakers generate a temporary conceptual structure which focuses on a specific  set of pragmatics, semantic, and syntactic options and sets guidelines for the  process of mapping information into linguistic form. Translation is often  thought to be primarily about words and their meanings, what the words in  the source text mean, and how words in the target language will convey  meaning. Recent linguistics research has not yet been able to come up with the  actual percentage of Anglicism in German language.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="17309">
                <text>2013</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="17310">
                <text>Conference or Workshop Item
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="18">
        <name>PE English</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="2545" public="1" featured="0">
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="20095">
                <text>925</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="20096">
                <text>The Differences in Adolescent Humor Style Preferences</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="20097">
                <text>Minela, Kerla</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="20098">
                <text>The Subject of this study are the styles of adolescent humor, their self-evaluation and school success. The study will use a correlation draft, in which descriptive-analytical method will be used. The Instruments will consist of HSQ scales (Humor Styles Questionnaire, Martin, 2003), RSS (Rosenberg self-esteem scale, Rosenberg, 1965), SPINO scales (Positive and Negative Affect Schedule, Waston, Clark and Tellegen, 1998, α = .82), a questionnaire SOUL (Semantic differential adjectives of affiliative humor, Kerla, 2011, N =100, NI = 26, α = . 96).  In a sample of 110 adolescents, students of International School of Sarajevo, the results have shown that there are no statistically significant differences in preference of styles of humor in female and male adolescents. However, there are significant differences in preference of afilliative style of humor in primary and secondary school students (t = 2.6 p = 0.11), as of self-defeating style of humor in elementary and high school students (t = -2.36, p = 0.02). </text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="20099">
                <text>2012-05</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="20100">
                <text>Conference or Workshop Item
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="32">
        <name>P Philology. Linguistics</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="2734" public="1" featured="0">
    <fileContainer>
      <file fileId="3505">
        <src>https://omeka.ibu.edu.ba/files/original/72ffbb027bcd7da1a132d9122daf5f2a.pdf</src>
        <authentication>2796d16fddb75b68bb1c272c19f5a910</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="21318">
                    <text>1st International Conference on Foreign Language Teaching and Applied Linguistics
May 5-7 2011 Sarajevo

The Difficulty of North American – r: an Analysis as a Pronunciation
Difficulty
Prof. Dr. Mehmet Demirezen
Department of ELT,
Hacettepe University, Ankara/ Turkey
md49@hacettepe.edu.tr
Abstract: The American-r phoneme, whose IPA sign is
, which is a retroflex case of
pronunciation, represents a very serious stumbling block in teaching standard American
pronunciation to Turks. Due to use of different primary articulators (tongue tip vs.
tongue dorsum, the American English phoneme / / has long been associated with
relatively large amounts of articulatory variabilities as tap, flap, approximant, and the
like. The endpoints of the articulatory continuum for / / can be analyzed via functionally
different articulatory configurations with the accompaniment of different primary
articulators (tongue tip vs. tongue dorsum). These endpoints as a different type of / /
have been characterized in the literature as ―bunched‖ which means the use of tongue
dorsum and ―retroflexed‖ that signifies the use of the tongue blade/tip, which gets to be a
pronunciation difficulty for Turkish teachers of English.
The primary purpose of the current study is to investigate the problematic pronunciation
issue of American English /r/ phoneme for Turks. The goal of the present study is twofolded. The first goal is to solve the serious confusion in the definition of taps and flaps,
and the second is to explore the phonetic context of word-initial-medial-final flapping of
/ / into retroflexion in North American English (NAE) and tapping in British English
(BrE) via its ambiguous perception by Turks due to such observable entities, namely,
preceding or following sound, intervocalic positioning through phonotactics and crosslanguage phonetic interference.
Key words: flapping, retroflexion, bunched articulation, tapping, neutralization

Introduction
There is a confusion in the explanation and definition of terms concerning a flap and a tap, and there
apparently seems to be very little agreement among the phonologists on the definition of these two terms. Although
the IPA takes flaps and taps to be the same thing, some phonologists insist on distinguishing them (Carr, 2008: 55;
Trask, 1996). Giving phonetic explanations based on the place, point and manner of articulation of them inevitably
lead to neutralization of flap and tap that happen to be misleading for the non-native learners of English. Such a
dubious definition is given by Malmkj ker (1995:34-35): A flap or tap is a sound in whose articulation one speech
organ strikes against the other just once….a retroflex: the curled-up tip of the tongue and the hard palate. A
structural description among the flap, tap, and retroflex occurrences can be necessary here. To clarify the confusions
on these two terms, some definitions given by the philologists must be compared and contrasted.

Statement of the Problem: North American-r as a Wrong Pronunciation case
The articulation and production of North American English-r is ambiguous. Many of Turkish English
teachers are wrong in its pronunciation. This claim is specified by an analysis of the Turkish English teachers. Data
is gathered from an examination of the oral English exam conducted at the Department of English Language
Education in July 2010 on 27 Turkish English teachers, 9 of whom were males, 18 females, within age range of 25
to 34. They had a teaching experience of one year to 13 years. Each one has got an MA degree in Teaching English
Education from 20 different state universities in Turkey. The subjects were all on-the-job teachers. The subjects
were observed by the researcher while they were being asked questions on applied linguistic, ELT and EFL by five
jury members.
The speeches of the 27 MA applicants were listened in by the researcher when they were taking the Oral exam while
answering the questions asked by five jurors. The subjects had no idea that they were being graded on the efficiency
of pronunciation articulation of flaps, retroflex-r, and taps. Through critical listening techniques, their repeated
pronunciation errors on the form of /r/ are captured by using the error hunt approach, shown in the following three
diagnostic charts given below. The diagnostic test utilized here depends on the suggestion made by Baker (1993:
895

�1st International Conference on Foreign Language Teaching and Applied Linguistics
May 5-7 2011 Sarajevo
134) and is further modified by the author of this article. For each student via this diagnostic test, an inventory of the
primary articulations in word-initial, word-medial, and word-final occurrences is kept for each and every student.

The diagnostic test given below is kept, via a tracking activity by the present researcher, on each applicant‘s
articulation over the problem-causing consonants at word-initial, word-medial, and word-final occurrences, and the
result was:

As a calculation, as it is seen in diagnostic chart 3, it was understood that only two of the applicants were using the
bunched form of /r/ phoneme because they had earned their AM degree in USA while the rest of the applicants
were using a Turkish variant of NAE-r in all environments.

There are several reasons of this ambiguous articulation of NAE-r by Turkish English teachers. In fact, the
secondary goal of this paper is to show the serious confusion in the definition of taps and flaps, and the second is to
explore the phonetic context of word-initial-medial-final flapping of / / into retroflexion in NAE and tapping in BrE
and its ambiguous perception by Turks, due to such observable entities, namely, preceding or following sounds,
intervocalic cases and cross-language phonetic interference.

The Phonetic Structure of /r/ in North American English
The IPA-system recognizes at least eight kinds of /r/, which are articulatorily different from each other. The
articulation of /r/-phoneme in form of retroflexion, in a back-bounded form of pronunciation, is impressive in North
English English (NAE), pointing to its difference from British variant which is called a tap. The American flap is
treated ambiguously by Turkish teachers and teacher trainees, who seriously fail to recognize and articulate it in its
native form. A possible reason for this ambiguity stems from the impact of Turkish /r/- phoneme plays a serious on
this failure as a cross phonetic influence. In NAE or GA , /r/ phoneme is a voiced alveolar flap (retroflex) or a
bunched semivowel; in BrE, it is a/r/ is a voiced alveolar tap semivowel. Phonetically, it has four types of
896

�1st International Conference on Foreign Language Teaching and Applied Linguistics
May 5-7 2011 Sarajevo
occurrences in the structure of the English language, exhibited in the following words: The symbol / / stands for a
retroflex-r:

When it is a consonant, it is accepted as a liguid in both NAE and BrE /r/, being a semi-vowel, in a syllableinitiating position, functions as on-glide; in a syllable-terminating position, it functions as off-glide, without any
hold (Tiffany and Carrell, 1987:102).

Different Varieties of /r/ in NAE and BRE
In the structure of English, the /r/ phoneme very frequently takes place in form of different variants, like a
consonant, semi-vowel, approximant, glide, or retroflex. Among NAE and BrE dialects, the usage of /r/ phoneme
differs characteristically. When consonant r is an on-glide as in run or red there occur only a few distinguishing
differences among the dialect regions. There are however, many phonetic situations where the General American
speaker uses r as an off-glide but where the typical New Englander or Southerner drops the sound or uses a non rcolored glide. The word car for instance, would be kar in GA but might be k : in some other regions. Note that
the vowel is characteristically lengthened in this case (Tiffany and Carrell, 1987:345). There are also some
differences of the definition on /r/. For example, the American r is classified as a voiced linguapalatal glide. It is
produced by the gliding movements of the organs of articulation. (Tiffany and Carrell, 1987: 345). The retroflex- r,
when it functions as a consonant is considered to be a liquid… .. Thus, at the beginning of a word and followed by a
vowel, the retroflex r typically functions as a consonant while at the peak of a syllable it appears to function as a
vowel low (Wolfram and Johnson, 1982: 21). The alveolar continuant
, produced with the tongue blade raised
towards the alveolar ridge and the sides of the tongue in contact with the molars, forming a narrow channel down the
middle of the tongue, heard in many kinds of English including RP (Davenport and Hannahs, 1998: 32). Thus, these
definitions indicate that it is bound to be pronunciation problem causer to non-native speaking teachers and trainees
because of its tap, flap, and retroflex allophones.

Confusion: Different Definitions on TAPS and FLAPS
There is a serious confusion in the definition of taps and flaps because there are many dubious definitions
on them (Platt et al., 372 ; Ladefoged , 2006: 171-172) Some phoneticians distinguish between taps and flaps in
terms of the articulatory movements involved (Crystal, 2008: 477). Phonetically dubious definitions of terms are
harmful to learners since they curtail and blur the learning process. Often there is no strict distinction between taps
and flaps (Bussman,1996:1178).
Trask (1996:146) states, the confusion of definition on them must be avoided. Similarly, some phoneticians
distinguish systematically between flaps and taps, on the grounds that in the case of flaps the articulator which
makes the contact is returning to a position of rest, whereas in the case of taps this is not so, and the contact
897

�1st International Conference on Foreign Language Teaching and Applied Linguistics
May 5-7 2011 Sarajevo
resembles a very rapid stop articulation (Crystal, 2008: 191). This is a very sensible definition that carries phonetic
plausibility.
The term retroflex is a phonetic classification of consonant sound on the basis of place of articulation. It
―refers to a sound made when the tip of the tongue is curled back in the direction of the front part of the hard palate
– in other words, just behind the alveolar ridge. The degree of retroflexion varies considerably between sounds and
dialects. The quality of r sounds traditionally associated with American English, and with many rural British
English dialects (especially in the South West), illustrates one main group of retroflex sounds‖ (Crystal, 2008: 415).
There are two basic varieties of retroflex-r in NAE. The first one is the retroflex flap-r during the
articulation of which the tip of the tongue raised up to the hard palate to touch in a back-bounded manner; that‘s why
it is retroflex flap-r. For the tongue tip raised version, the tip of the tongue (apico) is elevated and points directly
towards the rear of the alveolar ridge (postalveolar). For the retroflex articulation, the body of the tongue is hallowed
and the tongue is bent backwards in a more retroflex position. Here the term apico refers to the underside of the
tongue as it curls backward approximating the front portion of the palatal area (prepalatal) (Bauman-Waengler,
2009:140- A great majority of Turkish learners of English and teachers on-the-job do not articulate it in the retroflex
position, but pronounce it as Turkish /r/, which is very much similar to British-r in word-initial positions and before
or after consonants.
An other common articulation is the so-called bunched /r/. It has the following specific feaure of
articulation: The middle part of the tongue is raised (mediodorsal) toward the middle part of the hard palate
(mediopalatal); the tongue tip is relatively low, near and behind the front lower incisors. In addition, the tongue is
retracted into a compact ―bunched form‖, giving this articulation its characteristic name (Bauman-Waengler,
2009:140. According to IPA notation system, the bunched system does not have a representative phonetic symbol,
the tongue-tip-raised version is / /, and the symbol / / is used for retroflexed central approximant (BaumanWaengler, 2009: 141).

(Retroflex-r)

(Bunched-r)
Figure 1: Adapted from (Bauman-Waengler, 2009:140)

898

�1st International Conference on Foreign Language Teaching and Applied Linguistics
May 5-7 2011 Sarajevo
Figure 2: Adapted from (Bauman-Waengler, 2009:140)
(Combined Form)
The articulations of Turkish teachers on NAE-r do not even approximate to this bunched form of /r/.
Instead, they articulate it as they do in BrE-r in the environments of word-initial and post consonantal positions, the
tip of the tongue touching the alveolar/dental teeth ridge that is almost like the Turkish form in terms of point and
place of articulation, which boils down to mean that Turkish – r and British – r are very similar, as seen in in figure
3.

Figure 3: British English –r (Adapted from: Kelly, 2000: 51)

Conclusion
The transcription of /r/ phoneme appears to be confusing right from the beginning because the r sounds
have been transcribed in such a variety of ways and phonetic symbols in the IPA system. There is a considerable
disagreement on the phonetic nature of flapped-/r/ in NAE; two forms of utterances are accepted: retroflex and
bunched shapes. One of their observations is that NAE retroflexed / / is actually produced by a raised, laminal
tongue blade, and not a curled tongue blade, but with a curled apex. In fact, a flap is a retroflex tap.
The Turkish teachers can never approximate to this position because no comparable r-sound exists in the
phonemic inventory of Turkish. In the bunched form of articulation the tip of the tongue is relatively kept low, but
Turkish teachers again cannot approximate their r-articulations to the bunched form either. Turks tend to
approximate their r-articulation through a phonetically oriented neutralization process in all environments.
Apparently, both the phonetic characteristics and phonological structure of a speaker's native language are also
influential on this issue.
In fact, /r/ is also difficult sound to be acquired infantile speech for Americans (Shriberg, 1993; Sander,
1972) and Turkish infantile speech as well. It is notoriously difficult for American children to learn to produce
(McGowan et al., 2003). Sander (1972) reported that the median age for acquisition of /r/ for American children was
3 years, and it was not until age 6 years that 90% of children produced /r/ correctly.
By nature and composition as a speech sound, /r/ in itself poses an intrinsic difficulty for the non-native
language teachers. Foreign speakers have a multitude of problems with the r sounds. A principal reason is that many
modern languages have r‘s that differ conspicuously from the American. When the foreign sound is carried into
English, the result may be a very prominent dialect feature. The fact that foreigner‘s native sound bears some general
resemblance to American r may make learning the r all the more difficult (Tiffany and Carrell, 1987:346;
Yamada and Tohkura, 1992)
One of the greatest difficulties seems to be teaching the foreign speaker to treat r as a retroflex or
bunched form. Such a difficulty of pronunciation inefficiency, which damages the beauty of pronunciation and
points to the heavy existence of native accent in the subjects, waits to be rehabilitated.

899

�1st International Conference on Foreign Language Teaching and Applied Linguistics
May 5-7 2011 Sarajevo

REFERENCES
Baker, A. (1981). Ship or Sheep? An Intermediate Pronunciation Course, Cambridge: Cambridge University Press.
Baker, A. (1993). Introducing English Pronunciation. A Teacher‘s Guide to Tree or Three and Ship or Sheep.
Cambridge: Cambridge University Press
Bauman-Waengler, J. (2009). Introduction to Phonetics and Phonology: From concepts
to Transcription. Boston: Pearson.
Bussmann, H. (1998). Routledge Dictionary of Language and linguistics. London:
Routledge.
Carr, P. (2008). A Glossary of Phonology. Edinburgh: Edinburgh University Press Ltd.
900

�1st International Conference on Foreign Language Teaching and Applied Linguistics
May 5-7 2011 Sarajevo
Crystal, D. (2008). A Dictionary of Linguistics and Phonetics (76th ed.). Maldon: Blackwell Publishing Company.
Davenport, M. and Hannahs, S. J. (1998). Introducing phonetics and phonology. London: Arnold.
Kelly, G. (2008). How to Teach Pronunciation. Longman: Pearson Education Limited.
Ladefoged, P. and Maddieson, I. (1996). The Sounds of the World's Languages. Oxford: Blackwell Scientific
Publications.
Malmkj r, C. (1995). The Linguistics Encycplopedia. London: Routledge
McGowan, R. S. and Nittrouer, S. and Manning, C. (2004). Development of

in

young, Midwestern, American children. J. Acoust. Soc. Am. 115, February 2004, 871-884.
Richards, J. C., Platt, J, and Platt, H. (1992). Dictionary of language teaching and applied linguistics. Essex:
Longman Group Limited.
Roach, P. (2009). Glossary. A little Encyclopeida of phonetics.
Sander, E. K. (1972). ‗‗When are speech sounds learned?‘‘ J. Speech Hear Disord. 37,
55–63.
Skandera, P. and Burleigh, P. (2005). A manual of English Phonetics and Phonology. Gunter: Narr Verlag
Tùbingen.
Shriberg, L.D. (1993). Four new speech and prosody-voice measures for genetic research
and other studies in developmental phonological disorders. J. Speech Hear. Res. 36, 105-140.
Tiffany, W. and Carrell, J. (1987). Phonetics: Theory and Application. New York: McGraw-Hill Book Company.
Trask, R. L. (1996). Dictionary of Phonetics and Phonology. London: Routledge.
Wolfram, W and Johnson, R. (1982). Phonological analysis: Focus on American English. Englewood Cliffs, N. J:
Prentice-Hall, Inc., p. 24).
Yamada, R.A., Tohkura, Y. (1992). Perception of American English /r/ and /l/ by native
speakers of Japanese. In Tohkura, Y., Vatikiotis-Bateson, E., Sagisaka, Y. (Eds.), Speech Perception,
Production, and Linguistic Structure. IOS Press, Burke, VA.

901

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="21312">
                <text>554</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="21313">
                <text>The Difficulty of North American – r: an Analysis as a Pronunciation  Difficulty</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="21314">
                <text>Demirezen, Mehmet</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="21315">
                <text>The American-r phoneme, whose IPA sign is , which is a retroflex case of  pronunciation, represents a very serious stumbling block in teaching standard American  pronunciation to Turks. Due to use of different primary articulators (tongue tip vs.  tongue dorsum, the American English phoneme / / has long been associated with  relatively large amounts of articulatory variabilities as tap, flap, approximant, and the  like. The endpoints of the articulatory continuum for / / can be analyzed via functionally  different articulatory configurations with the accompaniment of different primary  articulators (tongue tip vs. tongue dorsum). These endpoints as a different type of / /  have been characterized in the literature as ―bunched‖ which means the use of tongue  dorsum and ―retroflexed‖ that signifies the use of the tongue blade/tip, which gets to be a  pronunciation difficulty for Turkish teachers of English.  The primary purpose of the current study is to investigate the problematic pronunciation  issue of American English /r/ phoneme for Turks. The goal of the present study is twofolded.  The first goal is to solve the serious confusion in the definition of taps and flaps,  and the second is to explore the phonetic context of word-initial-medial-final flapping of  / / into retroflexion in North American English (NAE) and tapping in British English  (BrE) via its ambiguous perception by Turks due to such observable entities, namely,  preceding or following sound, intervocalic positioning through phonotactics and crosslanguage  phonetic interference.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="21316">
                <text>2011-05</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="21317">
                <text>Conference or Workshop Item
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="32">
        <name>P Philology. Linguistics</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="3382" public="1" featured="0">
    <fileContainer>
      <file fileId="4174">
        <src>https://omeka.ibu.edu.ba/files/original/9fa4f5ab19fcbd67d67b5fff42afbdb3.pdf</src>
        <authentication>1d180e0fefa3c15b2a57766ea4558ca6</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="25858">
                    <text>1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

The Dissolution Kinetics Of Chalcopyrite Concentrate In Aqueous
Chlorination Solutions Of Chalcopyrite Concentrate
Ah met Yartaşı
Hakan Temur
M. Muhtar Kocakerim
Atatürk University, Engineering Faculty
Department of Chemical Engineering
Erzurum TURKEY
yartasi@atauni.edu.tr

Abstract: In this study, the dissolution kinetics of chalcopyrite concentrate was investigated
by using the solutions obtained with dissolution of chalcopyrite concentrate in water
saturated with chlorine. Reaction temperature, solid-to-liquid ratio, stirring speed, [Fe3+],
[Cu2+] and [H+] were chosen as parameters. It was determined that the dissolution rate of
chalcopyrite concentrate increased with increasing reaction temperature, [Fe3+] and [H+],
and decreasing solid-to-liquid ratio, but was not affected importantly by [Cu2+] and stirring
speed. A mathematical expression representing the process was established by using
experimental data and a package program, as follows, 1-(1-X)1/3 = {0.803.(S/L)0.32.(SS)0.17.[Fe3+]0.38 .[Cu2+]0.19.[H+]1.19.exp(-31.78/RT)}.t Also, it was found that
the dissolution rate was controlled by chemical reaction step with an activation energy of
31.78 kJ.mol-1 in the reaction temperature range 50-88 0C.
Keywords: Chalcopyrite, copper, chlorination, dissolution kinetics.

Introduction
Chalcopyrite, being one of the most abundant copper ores in the world isthe most important ore used in
production of the copper by pyrometallurgical methods.It contains minerals such as FeS2 , ZnS, PbS in addition
to CuFeS2 in nature. On the other hand, the SO2 gas emitted to atmosphere during the production of copper by
pyrometallurgical methods is an important pollutant. Nowadays, the governments force the firms producing
metals from sulphide minerals to use less harmful technologies because of its threatening properties for
environment. This situation brings along the necessity of developing of new environmentalisttechnologies. As
an alternative to the pyrometallurgical processes, hydrometallurgical metalrecovery is getting importance in this
area. Furthermore,the problem of evaluating the chlorine gas being a by-productin production of NaOH needed
in enormous amountsinindustry is waiting a solution because ofimpossibility ofits emission to the atmosphere.
There are many studies on the dissolution, dissolution kinetics and mechanism of copper ores in various
aqueous media. Havlik et al.(1995) examining the leaching of chalcopyrite concentrate with ferric chloride
solutions found that the rate of leaching increased with concentration of ferric ions up to the 0.5 M
concentrations of ferric chloride and the activation energy of this process was 55 ± 5 kJ.mol-1. Havlik and
Kam mel(1995) investigated leaching of chalcopyrite in acidified FeCl3 and acidified FeCl3 + CCl4 solutions.
They found thatthe leaching in the absence of CCl4 was a chemically controlled reaction with activation energy
of 68.9 kJ.mol-1 inthetemperature range 45-800 C and inthe presence of CCl4 was a diffusion controlled process
with activation energy of 31.2 kJ.mol-1 inthe same temperature range.
The high reactivity of gaseous chlorine as an oxidizing agent in leaching processes have been caused a
number of studies on the extraction of metalsulphides by chlorineleaching. Bayrakçeken et al.(1990) studied the
kinetics of the chlorination of pyrite in aqueous suspensions and found that the rate controlling step was the
chemical reaction between chlorine and pyrite forthe temperature range 13-35 0 C, and the diffusion of chlorine
through the fluid film forthe temperature range 40-60 0 C withthe activation energies respectively 36.7 kJ.mol-1
and 3.7 kJ.mol-1,respectively. Çolak et al.(1987) examined the kinetics of dissolution of chalcopyritein aqueous
solutions saturated by chlorine gas and determined thatthe diffusion of the reactants through product layer was
the rate controlling step with an activation energy of 9.81 kJ.mol-1.
212

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Reactions of copper sulfide minerals with chlorine in an aqueous media were studied by Groves and
Smith(1973) and determined that when the dissolution process was complete,the reaction products(copper,iron
and sulfur) were in their highest oxidation states and stoichiometric amount of chlorine was consumed.
In an study carried out by Ekmekyapar et. al.(1988), it was investigated the dissolution kinetics of an
oxidized copper ore in water saturated by chlorine, and found that the dissolution process proceeded in two
stages and was controlled by diffusion through the ash layer in each stage. The authors determined that the
activation energies forthe first and second stages were 27.15 and 20.21 kJ.mol-1,respectively.
Chalcopyrite can be dissolved with various leaching agents such as hydrochloric acid (Habashi and Toor,
1979), chloride/hypo chloride media (Puvvada and Murthy, 2000),ferric chloride (Dutrizac, 1990; Maurice and
Hawk,1999), acidic Cl- solutions(Lu et al.,2000), CCl4 saturated with chlorine(Saraç etal.,1994) and H2 SO4NaCl-O2 (Padilla et al., 2003). In addition to these, oxide and sulphide ores of base metal minerals were
examined by using various chlorinating agents such as Cl2,HCl, Cl2-O2, FeCl2 and O2 and CuCl2 (Mukherjee and
Gupta, 1983).
In this study, the dissolution kinetics of concentrate chalcopyrite in the chlorination solution (solution
obtained by dissolution of chalcopyrite concentratein water saturated with chlorine was investigated and effects
of the parameters, such as reaction temperature, solid-to-liquid ratio, stirring speed, [Fe3+], [Cu2+] and [H+] on
the dissolution rate were determined.

Methods And Materials
The chalcopyrite concentrate used in this study was provided from Çayeli, Rize in Turkey and sieved by
using a 75 µm AST M standard sieve. Chemical analysis of concentrate gave a composition of 24.02 % Cu, 29.36
% Fe, 36.55 % S, 2.19 % Zn, 0.19 % Pb, 0.1 % Al2 O3, 0.9 % moisture and 6.69 % other components. X-ray
diffractogram obtained by a Rigaku D M A X 2000 Series X-ray diffractometer and given in Figure 1 shows that
the concentrate contains CuFeS2, FeS2, ZnS, Cu2 S, CuS and very smallamount of Al2 O3 and SiO2. Also, SE M
photogram ofthe concentrateis seen in Figure 2.
250mL- a jacketed glass reactor was used for dissolution experiments under atmospheric pressure. The
reactor contents were mixed by a mechanical stirrer with tachometer and its temperature was controlled by a
constant temperature circulator. The reactor was fitted with a cooler to prevent the volume reduction of the
solution by the evaporation. The parameters used in the experiments and theirranges are given in Table 1.
Dissolution experiments were carried out using the chlorination solutions.In order to obtain this solution
an enough amount of chalcopyrite concentrate was dissolved in enough amount of chlorine saturated water under
predetermined optimum conditions(45o C for reaction temperature, 0.05gmL-1 for solidto liquid ratio, 0.2 molL-1
for [Fe3+], 0.025 molL-1 for [Cu2+] and 120 min for reaction time), and then,the suspension was filtered and the
filtrate stocked. The obtained solution was containing species such as Fe3+, Cu2+, H+, SO4 2- and Cl-.
Concentrations of these spieces were 14.6, 4.0, 4.46, 2.2 and 124.3 gmL-1, respectively. Various concentrations
of Fe3+, Cu2+ and H+ were prepared by adding Fe3+, Cu2+ or H+ to this solution or by diluting the solutions. After
250 mL of the chlorination solution was placed into reaction vessel it was heated to the reaction temperature.
And then, a certain amount of the concentrate was added tothe reaction vessel,and the vessel content was stirred
at a certain stirring speed for a desired period. At the end of dissolution period, reaction mixture was filtered,
and the amounts of Cu2+ passing to the solution was determined by the volumetric method(Gülensoy, 1984).
In the experiments, whilethe effect of one parameter was examining,the values of other parameters were
kept constant. The data obtained were plottedinthe form of conversion fraction, described as X = [the amount of
Cu passing to the solution from chalcopyrite concentrate /the amount of Cu in chalcopyrite concentrate] versus
time.

Results And Discussion
Dissolution Reactions
In aqueous medium, the reactions between chalcopyrite concentrate and chlorine gas are as
follows(Demopulos and Distin,1983, O’Malley and Liddell, 1987, Meyers,1977)
2CuFeS2(s) → Cu2 S(s) + 2 FeS(s) + S(s)
(1)
Cu2 S(s) + Cl2(aq) → CuCl2(aq) + CuS(s)
(2)
CuS(s) + Cl2(aq) → CuCl2(aq) + S (aq)
(3)
(4)
FeS2(s) →FeS(s) + S(s)
2FeS(s) + 2 Cl2(aq) → 2FeCl2(aq) + 2S(s)
(5)
213

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

4S (s) + 2 Cl2(aq) → 2 S2 Cl2(l)
(6)
2 FeCl2(aq) + Cl2(aq) → 2FeCl3
(7)
(aq)
(8)
2 S2 Cl2(l) + 10Cl2(aq) + 16H2 O → 4H2 SO4(aq) + 24HCl(aq)
FeS2(s) + 2Fe3+(aq) → 3Fe2+(aq) + 2S(s)
(9)
CuFeS2 (s) + 4Fe3+ → Cu2+ (aq) + 5Fe2+ (aq) + 2S(s)
(10)
S(s) +6Fe3+ (aq) +4H2 O→ HSO4 - (aq) +6Fe2+ (aq) +7H+ (aq)
(11)
W hen chalcopyrite concentrate is added into the chlorination solution,the reactions taking place in the medium
can be written as follows;
(10)
CuFeS2(s) + 4Fe3+(aq) → Cu2+(aq) + 5 Fe2+(aq) + 2 S(s)
CuFeS2(s) + 16Fe3+(aq) + 8H2 O → Cu2+(aq) + 17 Fe2+(aq) + 2SO4 2-(aq) +16H+ (aq)
(12)
FeS2(s) + 2Fe3+(aq) → 3Fe2+(aq) + 2S(s)
(9)
6Fe3+(aq) + S(s) + 4H2 O → 6Fe2+(aq) + HSO4 -(aq) + 7H+ (aq)
(13)
After dissolving the concentrate atreaction temperature of 75 o C, particle size of 75 µm, stirring speed of
450 min-1, solid-to-liquid ratio of 0,02 g.mL-1, Cu2+ ion concentration of 4.03 g.L-1, Fe3+ ion concentration of
13.90 g.L-1 and H+ ion concentration of 4.46 g.L-1 and the mixture was filtered. After the solid part was
extracted with 100 mL of carbon sulphide in a reaction vessel equipped with a condencer and the extraction
mixture was filtered,the filtrate was evaporated and it was seen thatthe residue was elemental sulphur.
The effects of parameters
The effect of reaction temperature on the dissolution rate was studied using four reaction temperatures
(50, 65, 75 and 88 o C ) at particle size of 75 µm, stirring speed of 450 min-1,solid-to-liquid ratio of 0,02 g.mL-1,
[Cu2+] of 4.03 g.L-1, [Fe3+] of 13.90 g.L-1 and [H+] of 4.46 g.L-1. As seen in Figure 4,the dissolution rate of
chalcopyrite concentrateincreases with increasing reaction temperature.
The effect of stirring speed on the dissolution rate was studied by using three stirring speeds (300, 450 and
600 min-1) at particle size of 75 µm, reaction temperature of 75 o C,
solid-to-liquid ratio of 0.02 g.mL-1,
2+
-1
3+
-1
+
-1
[Cu ] of 4.03 g.L ,[Fe ] of 13.90 g.L and [H ] of 4.46 g.L . The experimentalresultsseen in Figure 5 show
evidently thatthe dissolution rate is not affectimportantly of stirring speed.
To investigate the effect of solid-to-liquid ratio on the dissolution rate,the experiments were carried out
by using three solid-to-liquid ratios(0.01, 0.02 and 0.04 g.mL-1) at particle size of 75 µm, reaction temperature
of 75 o C, stirring speed of 450 min-1,[Cu2+] of 4.03 g.L-1,[Fe3+] of 13.90 g.L-1 and [H+] of 4.46 g.L-1. Data for
various solid-to-liquid ratios is seen in Figure 6. This figure shows that decreasing solid-to-liquid ratio
increases the dissolution rate, which can be explained by the decrease in the amount of solid per amount of
solution in the reaction mixture.
To determine the effect of [Cu2+] of on the dissolution rate, the experiments were carried out by using
three[Cu2+] values (4.03, 6.03 and 8.05 g.L-1) at particle size of 75 µm, reaction temperature of 75 o C, solid-toliquid ratio 0.02 g.mL-1, stirring speed of 450 min-1,[Fe3+] of 13.90 g.L-1 and [H+] of 4.46 g.L-1. As can be seen
in Figure 7, which the experimentalresults are given,the effect of[Cu2+] on the dissolution rateis notimportant.
This case can be explained by the factthat when the large amount of Fe3+ ions are presentin reaction medium,
Cu2+ ions can not have an oxidizing effect.
The effect of[Fe3+] on the dissolution rate was investigated by using three [Fe3+] values (13.90, 20.89 and
27.85 g.L-1) at particle size of 75µm, reaction temperature of 75 o C,
solid-to-liquid ratio 0.02 g.mL-1, stirring
speed of 450 min-1, [Cu2+] of 4.02 g.L-1 and [H+] of 4.46 g.L-1. Experimental results plotted in Figure 8 show
that the dissolution rate increase with increasing [Fe3+]. It has been stated that the following reactions occur
during reaction between chalcopyrite and FeCl3 (Hawlik et al. 1995; Çolak et al., 1987);
CuFeS2(s) + 4Fe3+(aq) → Cu2+(aq) + 5 Fe2+(aq) + 2 S0(s)
(10)
CuFeS2(s) + 16 Fe3+(aq) + 8H2 O → Cu2+(aq) + 17Fe2+(aq) + 2 SO4 2-(aq) + 16H+ (aq)
(12)
Due to above reactions (1 and 2),the dissolution rateincreases with increasing [Fe3+].
The effect of [H+] on the dissolution rate was investigated by using three [H+] values (4.46, 2.23 and 1.12
-1
g.L ) at particle size of 75µm, reaction temperature of 75 o C, solid-to-liquid ratio 0.02 g.mL-1, stirring speed of
450 min-1,[Cu2+] of 4.03 g.L-1 and [Fe3+] of 13.90 g.L-1. The experimentalresults plotted in Figure 9 show that
dissolution rateincrease with increasing [H+].
Kinetics Analysis
The kinetics of a noncatalytic reaction between a solid and a liquid,represented by A(fluid) + bB(solid) →
Products, can be represented by one of two ideal model: Progressive-conversion model and shrinking core
214

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

model(Levenspiel, 1999).
In progressive-conversion model, it is visualized that reactant liquid enters to particle and reacts
throughoutthe particle at alltimes. At this case,the reaction rate can be defined by pseudo-homogenous models
and in the shrinking core modelitis derived integrated rate equations to show the reaction rate.In such a case,
the particle size may unchanged or shrink. Ifit unchanges, the derived integrated rate equations are
t/t* = X, (for diffusion controlthrough liquid film)
t / t* = 1-3(1-X)2/3 +2(1-X), (for diffusion control through ash or product layer)
t / t* = 1-(1-X)1/3, (for surface chemical reaction control)
If it shrinks during the reaction, the diffusion through ash or product layer is absent and the integrated rate
equation are
t / t* = 1-(1-X)2/3 , (the diffusion control through liquid film for small particles)
t / t* = 1-(1-X)1/2 , (the diffusion control through liquid film for large particles)
t / t* = 1-(1-X)1/3, (for surface chemical reaction control)
In the presented study, it was determined by statistical and graphical methods that which of above models
fits with experimental data and was observed that the most appropriate model was surface chemical reaction
control.
As shown in Figure 10, graphs of[1-(1-X)1/3] versus tfor various reaction temperatures(50, 65, 75 and 88
o
C ) gave straightlines. The similar straightlines were obtained for other parameters, also.
The regression coefficients of these lines were higher than those obtained for other models. This result
stated that the dissolution rate is controlled by chemical reaction. The activation energy of this dissolution
process was found to be 32.96 kJ.mol-1 from the slop ofthe straightline of Lnk versus 1/T in Figure 11.
W hen the activation energy result of the present work is compared the results from the literature for
chalcopyrite leaching (Dutrizac 1978, Jermilow et al. 1969, Dutrizac 1978, Dutrizac 1982 and Hirato et al.
1986),itis seen thatthe results ofthis work islower than those in the literature(Table 2).To find the reason of
this case,the initialrate values, ro were determined from Figure 4, and accepting thatthe kinetic equation isin
the form of
ro = ko[exp(-Ea/RT)],another activation energy value of 47.59 kJ.mol-1 was calculated from
the graph of Lnro versus 1/T shown in Figure 12. This value is in a good agreement with the literature values
given in Table 2, and can be considered astrue value ofthe activation energy.
The difference between the observed activation energy and the one calculated from initialrate values can
be explained by the formation of elemental sulphur covering the surface of the particle. When the reactions
between the active species in the leaching solution and chalcopyrite and/or pyrite proceeds, elemental sulphur
occurs according to the following reactions
FeS2(s) + 2Fe+3(aq) → 3Fe+2(aq) + 2S0(aq)
(9)
CuFeS2(s) + 4Fe3+(aq) → Cu2+(aq) + 5Fe2+(aq) + 2S0(s)
(10)
Elementalsulphur precipitating on the particle surface can coverthe surface,forming a productlayer. Due
tothis film,the activation energy reduces from the true value of 47.59 to 32.96 kJ.mol-1 asthe reaction proceeds.
Similar observations have been recorded by Boncukçuoğlu et al.(1994) and Erşahan et al.(1995). In the
study of Boncukçuoğlu et al.the reactions taking place in the leaching system were
FeS2(s) + 2Fe+3(aq) → 3Fe+2(aq) + 2S0(s)
(9)
FeS2(s) + 14Fe3+(aq) +8H2 O → 15Fe2+(aq) + 2HSO4 - aq) + 14H+ (aq)
(14)
Because reaction 9 is very fast compared to reaction 14 and high acidity gains speed this reaction
(Boncukçuoğlu et al.,1994; Erşahan et al, 1995, Meyers, 1977) and ,in similar way,it may say thatreaction 10
is faster than reaction 12, also, sulphur obtained by reactions 9 and 10 forms a sulphur layer increasing on
particle surface and the dissolution reaction becomes slow.
As a results,taking into accountthe values ofthe activation energies, 1-(1-X)1/3 versus t graphs and their
regression coefficients, ineffectiveness of stirring speed on the dissolution rate, it can be concluded that the
dissolution process was controlled by chemicalreaction.
To drive a mathematical expression including the effects of the parameters, the experimental data were
treated using a statistical program and the following equation was developed
1-(1-X)1/3 = {0.803.(S/L)-0.32.(SS)0.17.[Fe3+]0.38 .[Cu2+]0.19.[H+ ]1.19.exp(-31.78/RT)}.t
(15)
This method gave an activation energy of 31.78 kJ.mol-1 which is slightly lower than the value of 32.96
kJ.mol-1 calculated from Lnk – 1/T graph.
To test the agreement between the experimental conversion values and the values calculated from
mathematical expression,the plot of Xexp versus Xtheo was drawn. As seen in Figure 13, the agreement between
the experimental and calculated values is very good.
215

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Conclusions
In the presented study, the dissolution kinetics of concentrate chalcopyrite in a solution obtained by dissolution
of chalcopyrite concentrate in water saturated with chlorine have been investigated using reaction temperature,
solid-to-liquid ratio, stirring speed, [Fe3+], [Cu2+] and [H+] as parameters. It was determined that the dissolution
rate of chalcopyrite concentrate increased with increasing reaction temperature, [Fe3+] and [H+], and decreasing
solid-to-liquid ratio, but was not affected importantly by [Cu2+] and stirring speed. For this dissolution process, a
mathematical model was obtained as follows,
1-(1-X)1/3 = {0.803.(S/L)-0.32.(SS)0.17.[Fe3+]0.38 .[Cu2+]0.19.[H+ ]1.19.exp(-31.78/RT)}.t
(15)
It has found thatthe dissolution rateis controlled by chemicalreaction step with an activation energy as much as
31.78 kJ.mol-1 in the reaction temperature range 50-88 0 C.

List Of Symbols
X

t
t*
b
D
T
S/L
SS
[H+]
[Fe3+]
[Cu2+]

fractional conversion
time (min)
time for complete conversion of a single solid particle(min)
stociometric coefficient of B (solid) reacting with each mole of A (fluid)
particle size (µm)
reaction temperature (K)
solid-to-liquid ratio (g.mL-1)
stirring speed(min-1)
H+ ion concentration (g.L-1)
Fe3+ ion concentration (g.L-1)
Cu2+ ion concentration (g.L-1)

References
Bayrakçeken, S., Yaşar, Y. and Çolak, C., (1990). Kinetics of the chlorination of pyrite in aqueous suspension.
Hydrometallurgy. 25, 27-36.
Boncukçuoğlu, R., Kocakerim, M. M. and Erşahan, H., (1994). Kinetics of desulphurization of Nevşehir-Dadağı coal with
ferric chloride solutions, Fuel Processing Technol. 38, 31-44
Çolak, S., Alkan, M. and Kocakerim, M.M., (1987). Dissolution kinetics of chalcopyrite containing pyrite in water saturated
with chlorine. Hydrometallurgy. 18, 183-193.
Demopoulos,G.P. and Distin,P.A.,(1983). Ferric Chloride Leaching of Sulphidized Chalcopyrite. Hydrometallurgy, 10,111122.
Dutrizac, J.E., (1978). The kinetics of dissolution of chalcopyrite in ferric ion media. Metallurgical Transactions B. 12B, 431
438.
Dutrizac, J.E., (1982). Ferric ion leaching of chalcopyrite from different localities. Metallurgical Transactions B. 13B: 303309.
Dutrizac, J.E., (1990). Elemental Sulphur Formation During The Ferric Chloride Leaching Of Chalcopyrite.
Hydrometallurgy. 23, 153-176.
Erşahan, H., Bonçukcuoğlu, R.and Kocakerim, M.M., (1995). Elemental Sulfur Formation In The Meyers Coal
Desulphurization Process, Fuel. Vol 74, No:11, 1682-1686
Ekmekyapar, A., Çolak, S., Alkan, M. and Kayadeniz, Đ., (1988). Dissolution Kinetics Of An Oxidized Copper Ore In Water
Saturated By Chlorine. Chem.Tech. Biotechn. 43, 195-204.
Groves R. D. and Smith, P.B., (1973). Reactions Of Copper Sulphide Minerals With Chlorine In An Aqueous System. United
States Bureau of Mines, Report of Investigation 7801.
Gülensoy, H., (1984). Kompleksometrinin Esasları ve Kompleksometrik Titrasyonlar. Fatih Yayınevi Matbaası, 259 s,
Đstanbul.

216

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Habashi, F. and Toor, T., (1979). Aqueous Oxidation Of Chalcopyrite In Hydrochloric Acid. Metallurgical Transactions B.
10B, 49-56.
Havlik, T. and Kammel, R., (1995). Leaching Of Chalcopyrite With Acidified Ferric Chloride And Carbontetrachloride
Addition. Minerals Engineering, 8 (10), 1125-1134.
Havlik, T., Skrobian, M., Balaz, P. and Kammel, R., (1995). Leaching Of Chalcopyrite Concentrate With Ferric Chloride.
Int., J., Miner. Process. 43, 61-72.
Hirato, T., Kinoshita M, and Awakura, Y, (1986). The Leaching Of Chalcopyrite With Ferric Chlorides. Metallurgical
Transactions B. 17B, 19-28.
Küçük, Ö., Kocakerim, M.M., Yartaşı, A. and Çopur, M., (2002). Dissolution of Kestelek’s colemanite containing clay
minerals in water saturated with sulphur dioxide. Ind. Eng.Chem. Res. 41, 2853-2857.
Levenspiel, O., (1999). Chemical Reaction Engineering, 2nd ed., John Wiley and Sons, New York, pp. 566-586.
Lu, Z.Y., Jeffrey, M.I. and F. Lawson, (2000). The effect of chloride ions on the dissolution of chalcopyrite in acidic
solutions. Hydrometallurgy. 56 (2), 189-202.
Maurice, D. and Hawk, J.A., (1999). Simultaneous autogenous milling and ferric chloride leaching of chalcopyrite.
Hydrometallurgy. 51, 371-377.
Meyers, R.A., (1977), Coal Desulphurization, Dekker, New York.
Mukherjee, T.K. and Gupta, C.K., (1983). Base metal resource processing by chlorination. Mineral Processing Technology
Review. 1, 111-153.
O’Malley and Liddell, K.C., Leaching of CuFeS2 by aqueous FeCl3,HCl and NaCl: Effects of solution composition and
limited oxidant. Metallurgical Transaction B, 18B,505-510.
Padilla, R., Zambrano, P. and Ruiz, M.C., (2002). Leaching of sulfidized chalcopyrite with H2SO4-NaCl-O2, Metallurgical
and Materials Transactions B. 34B, 153-159.
Puvvada, G.V.K. and Murthy, D.S.R., (2000). Selective precious metals leaching from a chalcopyrite concentrate using
chloride/hypochlorite media. Hydrometallurgy. 58, 185-191.
Saraç, H., Kocakerim, M.M. and Çolak, S., (1994). Dissolution kinetics of chalcopyrite containing pyrite in carbon
tetrachloride saturated with chlorine. Chimica Acta Turcica. 22 (3), 259-370.

Parameters
Values
Reaction temperature ( 0 C)
50
65
75
Solid-to-liquid ratio(g.mL-1)
0.01
0.02
0.04
Stirring speed(min-1)
300
450
600
[Fe3+ ](g.L-1)
13.90
20.89
27.85
[Cu2+ ](g.L-1)
4.03
6.03
8.05
[H+ ](g.L-1)
4.46
2.13
1.12
Table 1.Parameters used in the experiments and theirranges

88

Temperature range
Ea
Literature
(0 C)
(kJ.mol-1)
50-100
46 ± 4
Dutrizac (1978)
30-100
42 ± 4
Dutrizac (1978)
40-100
63 ± 8
Dutrizac (1982)
58-85
59.5
Hirato et al.(1986)
Table 2. Apparent activation energy values Ea of chalcopyriteleaching with ferric chloride

217

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Figure 1. X-Ray diffractogram of the chalcopyrite concentrate

Figure 2. SE M photogram of the chalcopyrite concentrate

Figure 3. SE M photogram of undissolved solid portion during the reaction

218

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

0,8
0

Reaction temperature( C )

0,7

50
65
75
88

0,6

X

0,5
0,4
0,3
0,2
0,1
0,0
0

40

80

120

160

Reaction time (min)

Figure 4. Effect of reaction temperature on dissolution of chalcopyrite concentrate

0,6
-1

Stirring speed (min )
300
450
600

X

0,4

0,2

0,0
0

40

80

120

160

Reaction time(min)

Figure 5. Effect of stirring speed on dissolution of chalcopyrite concentrate

219

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

0,7
-1

Solid-to-liquid ratio( g.mL)
0.01
0.02
0.04

0,6

0,5

X

0,4

0,3

0,2

0,1

0,0
0

40

80

120

160

Reaction time (min)

Figure 6. Effect of solid-to-liquid ratio on dissolution of chalcopyrite concentrate
0,7

0,6

2+

-1

[Cu ] ( g.L )
4.03
6.04
8.05

0,5

X

0,4

0,3

0,2

0,1

0,0
0

40

80

120

160

Reaction time(min)

Figure 7. Effect of [Cu2+] on dissolution of chalcopyrite concentrate
0,8
0,7
3+

[Fe
0,6

X

0,5

-1

]( g.L )
13.90
20.89
27.85

0,4
0,3
0,2
0,1
0,0
0

40

80

120

160

Reaction time(min)

Figure 8. Effect of [Fe3+] on dissolution of chalcopyrite concentrate
220

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

0,6
+

0,4

X

-1

[H ]( g.L )
2.64
1.32
0.66

0,5

0,3

0,2

0,1

0,0
0

30

60

90

120

150

Reaction time (min)

Figure 9. Effect of [H+] on dissolution of chalcopyrite concentrate

0,35
0

Reaction temperature( C )
50
65
75
88

0,30

1-(1-X)

1/3

0,25

0,20

0,15
0,10

0,05
0,00
0

20

40

60

80

100

120

140

160

Reaction time(min)

Figure 10. Plot of 1-(1-X)1/3 againstreaction time for various reaction temperature

-6,0

Ln k

-6,4

-6,8

-7,2

-7,6
2,7

2,8

2,9

3,0
3

3,1

-1

1/T x 10 (K )

Figure 11. Graph of Lnk versus 1/T for dissolution process inthe reaction temperature range 50-88 0 C.
221

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

-4,2

-4,6

Ln r 0

-5,0

-5,4

-5,8

-6,2

-6,6
2,7

2,8

2,9
3

3,0

3,1

-1

1/T x 10 (K )

Figure 12. Graph of Lnro versus 1/T forinitialreaction rate
0,40
0,35
0,30

X Experimental

0,25
0,20
0,15
0,10
0,05
0,00
0,00

0,05

0,10

0,15

0,20

0,25

0,30

0,35

0,40

XTheoretical

Figure 13. Comparison of experimental and theoretical conversion values from mathematical expression in Eq. 15

222

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="25852">
                <text>513</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="25853">
                <text>The Dissolution Kinetics Of Chalcopyrite Concentrate In Aqueous  Chlorination Solutions Of Chalcopyrite Concentrate</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="25854">
                <text>Yartası, Ahmet
Temur, Hakan
Kocakerim, M. Muhtar</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="25855">
                <text>In this study, the dissolution kinetics of chalcopyrite concentrate was investigated  by using the solutions obtained with dissolution of chalcopyrite concentrate in water  saturated with chlorine. Reaction temperature, solid-to-liquid ratio, stirring speed, [Fe3+],  [Cu2+] and [H+] were chosen as parameters. It was determined that the dissolution rate of  chalcopyrite concentrate increased with increasing reaction temperature, [Fe3+] and [H+],  and decreasing solid-to-liquid ratio, but was not affected importantly by [Cu2+] and stirring  speed. A mathematical expression representing the process was established by using  experimental data and a package program, as follows, 1-(1-X)1/3 = {0.803.(S/L)-  0.32.(SS)0.17.[Fe3+]0.38 .[Cu2+]0.19.[H+]1.19.exp(-31.78/RT)}.t Also, it was found that  the dissolution rate was controlled by chemical reaction step with an activation energy of  31.78 kJ.mol-1 in the reaction temperature range 50-88 0C.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="25856">
                <text>2009-06</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="25857">
                <text>Conference or Workshop Item
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="15">
        <name>Q Science (General)</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="739" public="1" featured="0">
    <fileContainer>
      <file fileId="813">
        <src>https://omeka.ibu.edu.ba/files/original/1859bc9c0ba498d34bcebbbb1bd07a29.docx</src>
        <authentication>a9447eb7fba2f290e48dcd65d83206ea</authentication>
      </file>
      <file fileId="814">
        <src>https://omeka.ibu.edu.ba/files/original/fed4fd4f17897038db42123e7314e28d.pdf</src>
        <authentication>cdc15821d76e4ceab9e601faecb1856e</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="5950">
                    <text>The Driving Forces behind Albania’s Growth
GüngörTuran
Epoka University
Albania
gturan@epoka.edu.al
ÇeljetaSherifi
Epoka University
Albania
celjetasherifi@gmail.com

Abstract: This paper examines the determinants of the Albanian economic growth that
occurred from 2002-2012. We have explored, first, the time series properties of the growth
rates of gross domestic product and labor productivity with an extended battery of unit-root
tests. Then, in a multivariate setting, we use the VAR model methodology to provide evidence
that physical and human capital accumulation, R&amp;D expenditure, openness and
competitiveness are the main drivers of output, labor productivity and total factor
productivity growth in the long run.

Keywords: growth, Solow model, VAR methodology, Albania.

56

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5942">
                <text>2486</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5943">
                <text>The Driving Forces behind Albania’s Growth</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="5944">
                <text>TURAN, Güngör
SHERIFI, Çeljeta</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5945">
                <text>This paper examines the determinants of the Albanian economic growth that occurred from 2002-2012. We have explored, first, the time series properties of the growth rates of gross domestic product and labor productivity with an extended battery of unit-root tests. Then, in a multivariate setting, we use the VAR model methodology to provide evidence that physical and human capital accumulation, R&amp;D expenditure, openness and competitiveness are the main drivers of output, labor productivity and total factor productivity growth in the long run.    Keywords: growth, Solow model, VAR methodology, Albania.  </text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="5946">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5947">
                <text>2014-04-24</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="5948">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="5949">
                <text>ISSN 2303-4564     </text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="6">
        <name>H Social Sciences (General)</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="1719" public="1" featured="0">
    <fileContainer>
      <file fileId="2419">
        <src>https://omeka.ibu.edu.ba/files/original/446d1c1a0f56a63d209769c2d919c272.pdf</src>
        <authentication>3a1932e0227a9e409c9064041adb467c</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="14109">
                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

The Dynamic Relationships between Stock Market
Capitalization Rate and Interest Rate in Turkey
Cengiz Toraman
Gaziantep University, Gaziantep, Türkiye
cengiztoraman2004@yahoo.com
Çağatay Başarır
Balıkesir University, Balıkesir, Türkiye
cagataybasarir@gmail.com

This paper investigates the long run and short-term relationships between
stock market capitalization rate and interest rates in Turkey over the
period 1998-2012. Prior to conducting the analysis in a time series, in
order to test the stability of the series, a unit root test was initially applied.
It is determined that both stock market capitalization rate and interest rate
series are not stationary. Long-run relationship is tested by Johansen
Cointegration tests and casual relationship is tested by Granger Causality
tests. According to the results of the study, there is long-run relationship
between stock market capitalization rate and interest rates while there is
not causal relationship between stock market capitalization rate and
interest rates in short term.
Keywords: Stock Market Capitalization Rate, Interest Rates, Cointegration,
Vector Error Correction Model (VECM), Causality.

78

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
      <file fileId="2420">
        <src>https://omeka.ibu.edu.ba/files/original/d31ccec2d7192e25a7989e2818d84e8a.docx</src>
        <authentication>acb4a3066460e1f0cfbfc0a77734b396</authentication>
      </file>
      <file fileId="2421">
        <src>https://omeka.ibu.edu.ba/files/original/6b75806ff277700af83fd72291a72890.pdf</src>
        <authentication>eb6638216ddf640b1b93e81f4b7560d5</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="14110">
                    <text>International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

The DynamicRelationshipsbetween Stock MarketCapitalization Rate and
Interest Rate in Turkey
CengizToraman
Gaziantep University, Gaziantep, Türkiye
cengiztoraman2004@yahoo.com
ÇağatayBaşarır
Balıkesir University, Balıkesir, Türkiye
cagataybasarir@gmail.com
Abstract
This paper investigates the long term and short term relationships between stock
market capitalization rate and interest rates in Turkey over the period 1998-2012.
Prior to conducting the analysis in time series, in order to test the stability of the
series, a unit root test was initially applied. It is determined that both stock market
capitalization rate and interest rate series are not stationary. Long-term relationship is
tested by Johansen Cointegration tests and casual relationship is tested by Granger
Causality tests. According to the results of the study, there is long term relationship
between stock market capitalization rate and interest rates while there is not causal
relationship between stock market capitalization rate and interest rates in short term.
Keywords: Stock Market Capitalization Rate, Interest rates, Cointegration, Vector
error, Correction model (VECM), Causality.

Introduction
Two critical factors of economic growth are stock exchange and interest rate. The effects
of interest rate on stock exchange ensure important implications for monitory policy
towards financial markets. The relationship between stock market capitalization rate
(SMCR) and interest rate have preoccupied the minds of economists since they both play
important roles in influencing a country’s economic development (Aydemir and Demirhan,
2009).
Theoretically, interest rates have negative impact on stock market performance. An
increase in interest rates would avoid investors making high risk stock market investments
comparing to low risk interest bearing security investments such as fixed deposits, savings
certificates, treasury bills etc (French et al., 1987). In other words, demand for high risk
stock market investments would fall if the interest rates are high. As a result, fall in
demand for shares would eventually reduce its prices. In contrast, lower interest rate would
cause opposite effects such as higher demand for stock investment and increase of share
prices.
On the other hand, Central Banks usually use interest rates as a tool to dominate inflation
in a country. If Central Bank changes interest rates, it would indirectly affect the stock
market performance. It eventually would have an impact on overall economic development
of the country. Thus, determination of ideal interest rate is a very important policy decision
that a country has to consider regularly (Pallegedara, 2012).

127

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Objective of this study is to investigate the long term and short term relationships between
SMCR and interest rates. In the first section of the study, aliterature review is made in
order to introduce the variables and the models appliedfor different countries. In the second
section, data set and variables of the model areexplained. In the third section, a VAR
(Vector Autoregression) model is used toexplain the relationship between interest rates and
SMCR. The last section of the study evaluates the results of the model and concludes the
paper.
Literature Review
The relationship between the stock market and macroeconomic factors has been a key
study concern in the literature. For instance, the relationship between inflation and stock
market returns was investigated by Fama (1981). In his study, it is argued that expected
inflation is negatively correlated with anticipated real activity, which in turn is positively
related to returns on the stock market. A negative correlation between stock market returns
and expected inflation was introduced. Conversely, the influence of the long term interest
rate on stock prices stems directly from the present value model through the influence of
the long term interest rate on the discount rate.
Zhou (1996) analyzed the relationship between interest rates and stock prices with a
regression analysis. He found that over the long term, interest rates have a significant effect
on stock returns. In addition, his results point out that long term interest rates explain a
major part of variation in price-dividend ratios and bring up that the high volatility of the
stock market is related to the high volatility of long term bond yields and may be
accounted for by changing forecasts of discount rates.
Maysami and Koh (2000) used a VECM model using monthly data between 1988-2003 to
examine the long term equilibrium relationships between selected macroeconomic
variables and stock indices of Singapore, Japan and the United States. They found that
changes in Singapore’s stock market levels cause a cointegration relationship with changes
in price levels, money supply, short and long term interest rates, and exchange rate except
industrial production and trade. And also they detected that Singapore stock market is
significantly and positively cointegrated with stock markets of Japan and the United States.
Hondroyiannis and Papapetrou (2001) investigated the dynamic relationships between the
real stock returns, oil prices, and economic activity. They performed a VAR model using
monthly data between 1984:1–1999:9. They found that stock prices do not lead to changes
in real economic activity but the macroeconomic activity and foreign stock market changes
partially explained Greek stock price movements. They also found that oil price changes
explain Greek stock price movements and have a negative impact on economic activity.
Arango, Gonzales and Posada (2002) exhibited some evidence of the nonlinear and inverse
relationship between the share prices on the Bogota stock market and the interest rate.
They used daily data from January 1994 up to February 2000. They attained that their
model captured the stylized fact on this market of high dependence of returns in short
periods of time.
Simpson and Evans (2003) analyzed the dynamic interactions and long term relationships
between banks share returns and interest rates with a VAR model including Granger
Causality and cointegration analysis. They concluded that there is no long term

128

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

relationship between bank shares returns, bank share returns and exchange returns.
However, a causality from bank share returns and to exchange rates and interest rates.
Gan et al. (2006) examined the relationship between the New Zealand Stock Index and
certain macroeconomic variables between 1990- 2003. They used monthly data to perform
the cointegration tests. They found that the New Zealand Stock Index is consistently
determined by the interest rate, money supply and real GDP but no proof could be found
whether the New Zealand Stock Index is a leading indicator for changes in macroeconomic
variables.
Kurihara (2006) analyzed the relationships between Japan stock index and macroeconomic
factors with using daily data Japan among March 2001 and September 2005. His study
included various variables such as Japan stock index prices, USA stock index prices,
Yen/USD exchange rates, Japan interest rates. As a result, he found that interest rates have
no effect on Japan stock prices but, exchange rates and USA stock prices have effects on
Japan stock prices.
Ologunde et al. (2006) employed a time series analysis to examine the effect of interest
rate on some certain variables such as SMCR and government development stock rate
between 1981-2000 years. They used the ordinary least-square (OLS) regression method
and used yearly data. They found that interest rates have a positive influence on SMCR and
a negative influence on government development stock rate. They also found that
government development stock rate has a negative influence on SMCR.
Mahmudul and Gazi (2009) investigated the relationship between interest rate and stock
price for 15 developed and developing countries including Australia, Bangladesh, Canada,
Chile, Colombia, Germany, Italy, Jamaica, Japan, Malaysia, Mexico, Philippine, S. Africa,
Spain, and Venezuela. They used monthly data from 1988 to 2003. They found that
interest rates have a significant and negative relationship with share prices for most of the
countries. Only six countries -Malaysia, Japan, Bangladesh, Colombia, Italy, and S. Africa
are found that changes of interest rates have a significant and negative relationship with
changes of share price.
Büyükşalvarcı (2010) analyzed the effects of certain macroeconomic variables on share
index by arbitrage pricing model. The model contains seven macroeconomic variables
(consumer price index, money market interest rates, industrial production index, gold
prices, oil prices, exchange rates, money supply) and Istanbul Stock Exchange 100 Index
returns. The dynamics between the seven variables and Istanbul Stock Exchange 100 Index
returns are introduced by a multiple regression method. As a conclusion, interest rates,
industrial production index, oil prices and exchange rates have negative effects on Istanbul
Stock Exchange 100 Index returns, but money supply has a positive effect on Istanbul
Stock Exchange 100 Index returns. Inflation rate and gold prices have no significant effect
on Istanbul Stock Exchange 100 Index returns.
4. Methodology
In this section of the study, the relationships between SMCR and interest rates in Turkey
over the period 1998-2012 is analyzed using time series methods of co-integration and
Granger Causality. For that purpose, data set will be defined first, and then time series
properties of the series will be tested.

129

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

4.1. Data Description
In the study, an empirical analysis was made to detect the relationships between the ISE
SMCR and interest rate with a VAR model. For this purpose, quarterly data between
1998:Q1 and 2012:Q3 periods were included.
Market Capitalization data is obtained from the website of ISE or at present name
Borsaİstanbul. The SMCR is defined as market capitalization data divided by GDP. Data
for the interest rate was retrieved from the website of the TCMB (Central Bank of Turkey).
Data set and definitions can be seen in Table 1.
Table 1: Data Set
Variable
dMSC
dintr

Definition
SMCR
Interest rate

Ratio of stock market capitalization to GDP
2 to 14 days weighted average interest rate

4.2. Methodology and Empirical Results
Initially we graph the series, it is seen that there is no stationarity for both of the series. If
the series are not stationary in level, variance and covariance of the series are not fixed in
the research period.
Graph 1:Variables Volatility
140
120
100
80
60
40
20
0
98

99

00

01

02

03

04
MCR

05

06

07

08

09

10

11

12

REPO

After an observational look, the stationary of each variable were tested by unit root tests to
determine their level of stationarity. Stationary variables could be used in the model. Then,
a VAR model is estimated, granger causality, impulse- response functions and variance
decomposition were tested in order to emphasize the dynamic properties of the system.
4.2.1. Unit Root Test
Stationarity of the time series is a salient pre-condition in future estimations. That is related
to the fact that if the analysis is conducted with non-stationary time series, spurious
regression problem occurs. In such a case, series with no actual interrelationship may seem
as if they are interrelated (Özata and Esen, 2010). In this study stationarity of the variables
130

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

are tested by unit root tests of Augmented Dickey-Fuller (ADF), Philips-Peron (PP) and
KPSS. None of the series is found to be stationary as a result of ADF, PP and KPSS test
results. All of the series become stationary when their first differences are taken.
Therefore, all of the series are first-order integrated I (1). As a consequence, differenced
series are used in the analysis. Results of the unit root tests are presented in Table 2.
Table 2: Unit root test results
dMCR
dINT

TEST

ADF(c)

-7.610268

-5.406468

ADF(t)

-7.539280

-5.548979

PP (c)

-8.225866

-14.92046

PP(t)

-8.173137

-18.86397

KPSS(c)

-0.099097

0.500000

KPSS(t)

0.105651

0.500000

*c with constant term but no trend.
*t with constant term and trend.

4.2.2. Cointegration Test
Unit root tests revealed that the series are stationary at first level, so they are integrated.
But, even the series are integrated; it does not guarantee that they behave in the same
direction in the long term. Long term relationships between two non-stationary series can
be detected by cointegration analysis. There are certain tests to perform cointegration
analysis. In this study, long term relationship between the cointegrated series is tested by a
Johansen cointegration test (1988). Johansen cointegration test provide us to determine the
number of cointegration relationship and the parameters of this relationship (Özata and
Esen, 2010).
Prior to the implementation of the Johansen Cointegration Test, the unrestricted Vector
Autoregression (VAR) model was applied on the series to determine lagged ratios. Lagged
ratio is taken as 2 according to the SC, HQ and LR criteria. The Johansen Cointegration
test results, the Trace Test and the Maximum Eigenvalue test results are illustrated in Table
3 and Table 4.

Hypothesized
No. of CE(s)
None (r=0)
At most 1 (r≤1)

Table 3: Trace Test Results
Eigenvalue
Trace
%5 Critic
Statistics
Value

Probability

0.430888

49.95243

15.49471

0.0000

0.291460

18.95016

3.841466

0.0000

131

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 4: Maximum Eigenvalue Test Results
Hypothesized
Eigenvalue Maximum %5 Critic Probability
No. of CE(s)
Eigenvalue
Value
Statistics
None (r=0)
At most 1 (r≤1)

0.430888

31.00227

14.26460

0.0001

0.291460

18.95016

3.841466

0.0000

Trace test and Maximum Eigenvalue test results shows that we can reject the null
hypothesis:
Ho: There is no cointegration,
As a conclusion, we can state that there is a long term relationship between the variables.
Engle and Granger (1987) emphasized that an error correction model can be set when there
is long term relationship between the variables. In other words, a bias of the long term
equilibrium can be corrected. Correction of the bias in the regression can be made by an
error correction term (ECT). Therefore, Granger causality of the model should be based on
an error correction model (VECM).
4.2.3 Vector Error Correction Model
The main advantage of the error correction model is that it enables to benefit the sub
information of the series in the short term and long term. It also provides to eliminate the
spurious regression (Sevüktekin and Nargeleçekenler, 2010).
Therefore, for long term relationship, a dynamic specification of error correction (VECM)
model can be defined as:
k

k

Jk1

Jk1

Y1t   0   1 j Y1t  j   2 j Y2t  j  1 ECTt 1   1t

(1)

Y2t   0   1 j Y1t  j    2 j Y2t  j  2 ECTt 1   2t
(2)
J 1
J 1
ECTt-1 is the lagged value
of error correction model. Coefficients
λ1and λ2show the equilibrium ratio. When cointegration is considered,  1 j from the



equation 1 and 1 j from the equation are tested whether they are significant in group by Ftest and also coefficients of the error correction model λ1and λ2 are tested whether
significant or not (Özata and Esen, 2010).
4.2.3. Granger Causality Test
Results of the Granger Causality test using vector error correction model is presented in
Table 5.

132

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 5: Granger Causality Test Results
Hypothesis

m=2
P Value

Test
Statistics

SMCR does not Granger Cause interest rate
Interest rate does not Granger cause SMCR

0.08698

0.9168

0.08871

0.9153

The Granger Causality test results pointed at an inelastic relationship between SMCR and
interest rate. Therefore, changes in the SMCR are not sensitive to changes in interest rates.
In the contrary case, changes in the interest rates are not sensitive to changes in the SMCR.
4.2.4. Impulse-Response Functions
After testing causality, responses of the indices to an impulse in crude oil prices are
analyzed. Impulse response functions reveal the effects of an unexpected shock given to a
variable on the future values of its own and also other variables. As a result of impulse
response functions, dynamic relationships can be observed among the variables and also
the adjustment process can be detected.
Graph 2: Graphs of Impulse-Response Functions
Response of DREPO to Cholesky
One S.D. DMCR Innovation

Response of DMCR to Cholesky
One S.D. DREPO Innovation

1.5

.35

1.0

.30

0.5

.25

0.0

.20

-0.5

.15

-1.0

.10

-1.5

.05

-2.0

.00

-2.5

-.05
2

4

6

8

10

12

14

16

18

20

22

24

2

4

6

8

10

12

14

16

18

20

According to the impulse response functions, an unexpected change of SMCR has an
impact on interest rate during 16 periods and afterwards the effects disappear. And also an
unexpected change of interest rate has an impact on SMCR during 17 periods. These
results support the long term relationship between the two determinants.
4.2.5. Variance Decomposition
Variance decomposition indicates the amount of information each variable contributes to
the other variables in a vector autoregression (VAR) model (Lütkepohl, 2007). In other
words, variance decomposition determines how much of the forecast error variance of each
variable can be explained by exogenous shocks to the other variables. Accordingly, the
results of the variance decomposition of our variables are as given in Table 6 and Table 7.

133

22

24

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 6: Variance Decompositions of SMCR
Period

DMCR

DINTR

1

100

0

6

97.36711

2.632890

12

97.87258

2.127417

Variance decomposition of SMCR is shown in table 6. As a result of the variance
decomposition tests, 100 % of the forecasting error variance of SMCR is explained by
itself in short term. In midterm 2.633 % forecasting error of the SMCR can be explained by
interest rate, 97.367 % is explained by itself and in the long term 2.127 of SMCR can be
explained by interest rate and 97.872 % is explained itself.
Table 7: Variance Decompositions of Interest Rate
Period

DMCR

DINTR

1

3.452237

96.54776

6

7.815995

92.18401

12

9.433681

90.56632

Variance decomposition of interest rate is shown in table 7. According to table 7, in short
term 3.452 % of the forecasting error variance of interest rate is explained by SMCR and
96.547 % of forecasting error variance is explained by itself. In midterm 7.815 % of
forecasting error variance of interest rate is explained by SMCR and 92.184 is explained
by itself. At the last, in the long term, 9.433 % of forecasting error variance of interest rate
is explained by SMCR and 90.566 is explained by itself.
As a conclusion; results of the variance decompositions of SMCR show that there is no
short term, midterm and long term significant relationship between SMCR and interest
rate. But variance decomposition of interest rate result is consistent with the results of the
cointegration analysis. If the time becomes longer, the relationships become more visible.
5. Summary and Concluding Remarks
This study examined the relationship of interest rates on the SMCR in ISE over the period
1998-2012 with VAR model. Time series of the data are found non-stationary so that the
long term relationships between the two variables are tested with cointegration analysis.
According the results of the model, there is a long term relationship between the SMCR
and interest rate but contrarily there is no granger causality relationship. The results
showed that, crisis in the stock market are precluded with the control of interest rate in the
long term.

134

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

The findings of the Variance Decomposition tests indicate that 2.127 % of forecasting error
variance of the SMCR can be explained by interest rate, 97.87 % is explained by itself;
likewise 90.56 % of interest rate is determined by itself and 9.43 % is explained by the
SMCR.
The cointegration relationship between the interest rates and SMCR is inconsistent with the
inferences of the efficient market hypothesis. Mainly, stock market can be estimated under
the efficient market hypothesis. If the economic policies implemented by the policy makers
do not influence the stock market as planned, they have to revise these economy policies.
If the policy makers try to cure the economic problems like high inflation or
unemployment, they have to consider the extensive effects of these policies because
adverse effects can be observed in stock markets. As a result, capital formation may
decrease and economy may disrupt.
REFERENCES
Arango, L., Gonzalez, A.&amp; Posada, C. (2002). Returns and interest rate: A nonlinear
relationship in the Bogota stock market. Applied Financial Economics, 12(11),
835–842.
Aydemir, O. &amp;Demirhan, E., (2009).The relationship between stock Prices and exchange
rates evidence from Turkey.International Research Journal of Finance and
Economics, 23, 208-215.
Büyükşalvarcı, A. (2010).The effects of macroeconomics variables on stock returns:
Evidence from Turkey. European Journal on Social Science.14(3), 404–416.
Engle, R.F. &amp; Granger, Cwj. (1987).Cointegration and error correction: Representation,
estimation and testing. Econometrica, 55, 251–276.
Fama, E. F.(1981). Stock Return, real activity, inflation, and money. American Economic
Review, 71(4), 545–65.
French KR., Schwert GW.&amp;Stambaugh RE (1987). Expected stock returns and volatility.
Journal of Finance Economics. 19, 3–29.
Gan,C., Lee, M., Yong, H.H.A., &amp; Zhang, J. (2006). Macroeconomic variables and stock
market interactions: New Zealand evidence. Investment Management and Financial
Innovations,3(4), 89–101.
Hondroyiannis, G.&amp;Papapetrou, E. (2001). Stock market performance and macroeconomic
experience in Greece.Greek Economic Review, 21 (2), 65–84.
Johansen, S.(1988). Statistical analysis of cointegration vectors.Journal of Economic
Dynamics and Control, 12, 231–254.
Kurihara, Y. (2006), The relationship between exchange rate and stock prices during the
quantitative easing policy in Japan, International Journal of Business, 11(4), 375–
386.

135

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Lütkepohl, H. (2007). Econometric Analysis with Vector Autoregressive Models,
European University Institute Working Paper ECO, 43.
Mahmudul, A.&amp;Gazi Salah, U. (2009). The relationship between interest rate and stock
price: Empirical evidence from developed and developing countries. International
Journal Of Business And Management. 4(3), 43–51.
Maysami, R.C.&amp;Koh, T.S.(2000). A vector error correction model of the Singapore stock
market.International Review of Economics and Finance, 9, 79–96.
Ologunde, A.O., Elumilade, D.O.&amp;Asaolu, T.O. (2006). Stock market capitalization and
interest rate in Nigeria: A Time Series Analysis.International Research Journal of
Finance and Economics, 4, 154–167.
Özata, E. &amp;Esen, E. (2010). Reel ücretlerileistihdamarasındakiilişkininekonometrikanalizi.
Journal OfAnadolu University Social Sciences. 10, 55–70.
Pallegedara, A. (2012). Dynamic relationships between stock market performance and
short term interest rate empirical evidence from Sri Lanka. University Library of
Munich, MPRA Paper 40773, Germany.
Sevüktekin, M.&amp;Nargelecekenler, M. (2010).
Eviewsuygulamalı. Ankara, Nobel Pres.

Ekonometrikzamanserilerianalizi:

Simpson, J.L. &amp; Evans, J.P. (2003).Banking stock returns and their relationship to interest
rates and exchange rates: Australian Evidence.University of Wollongong in Dubai
Working Paper, 5, 1–35.
Zhou, C., (1996). Stock market fluctuations and the term structure.Board of Governors of
the Federal Reserve System, Finance and Economics Discussion Series, 96/03.

136

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="14101">
                <text>1556</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="14102">
                <text>The Dynamic Relationships between Stock Market  Capitalization Rate and Interest Rate in Turkey</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="14103">
                <text>TORAMAN, Cengiz
BASARIR, Cagatay</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="14104">
                <text>This paper investigates the long run and short-term relationships between  stock market capitalization rate and interest rates in Turkey over the  period 1998-2012. Prior to conducting the analysis in a time series, in  order to test the stability of the series, a unit root test was initially applied.  It is determined that both stock market capitalization rate and interest rate  series are not stationary. Long-run relationship is tested by Johansen  Cointegration tests and casual relationship is tested by Granger Causality  tests. According to the results of the study, there is long-run relationship  between stock market capitalization rate and interest rates while there is  not causal relationship between stock market capitalization rate and  interest rates in short term.  Keywords: Stock Market Capitalization Rate, Interest Rates, Cointegration,  Vector Error Correction Model (VECM), Causality.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="14105">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="14106">
                <text>2013-05-10</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="14107">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="14108">
                <text>ISSN 978-9958-834-23-3     </text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
